All IPs > Processor > Audio Processor
The Audio Processor category in our catalog of semiconductor IPs represents cutting-edge technology for enhancing and managing audio signals in various applications. Audio processors play a crucial role in manipulating sound signals, ensuring high fidelity and enriching audio experiences across a range of industries. These IPs are integral to the design of products that require precise audio control and enhanced sound quality.
Audio processor semiconductor IPs are commonly used in consumer electronics, including smart speakers, home theater systems, and high-end audio equipment. They enable advanced functionalities such as noise reduction, surround sound processing, and adaptive sound optimization, ensuring users enjoy crystal-clear audio. With the increasing demand for immersive audio experiences, these processors offer manufacturers the ability to deliver products that meet consumer expectations for quality and performance.
In addition to consumer electronics, audio processors are also widely used in the automotive industry. With the rise of in-car entertainment systems, these IPs allow manufacturers to integrate premium audio features into vehicles, providing a richer listening experience for drivers and passengers. From noise cancellation technologies to high-fidelity audio reproduction, audio processors are key in enhancing the audio environment inside modern vehicles.
Beyond these applications, audio processors are essential in mobile devices where space and power efficiency are crucial. Implementing semiconductor IPs for audio processing in smartphones and tablets helps manage audio playback and recording, offering features such as voice enhancement and audio streaming. As devices become more interconnected and audio-centric, the demand for advanced audio processor IPs is set to continue growing, offering endless possibilities for innovation in sound technology.
The Yitian 710 Processor is an advanced Arm-based server chip developed by T-Head, designed to meet the extensive demands of modern data centers and enterprise applications. This processor boasts 128 high-performance Armv9 CPU cores, each coupled with robust caches, ensuring superior processing speeds and efficiency. With a 2.5D packaging technology, the Yitian 710 integrates multiple dies into a single unit, facilitating enhanced computational capability and energy efficiency. One of the key features of the Yitian 710 is its memory subsystem, which supports up to 8 channels of DDR5 memory, achieving a peak bandwidth of 281 GB/s. This configuration guarantees rapid data access and processing, crucial for high-throughput computing environments. Additionally, the processor is equipped with 96 PCIe 5.0 lanes, offering a dual-direction bandwidth of 768 GB/s, enabling seamless connectivity with peripheral devices and boosting system performance overall. The Yitian 710 Processor is meticulously crafted for applications in cloud services, big data analytics, and AI inference, providing organizations with a robust platform for their computing needs. By combining high core count, extensive memory support, and advanced I/O capabilities, the Yitian 710 stands as a cornerstone for deploying powerful, scalable, and energy-efficient data processing solutions.
The Mixed-Signal CODEC offered by Archband Labs integrates advanced analog and digital audio processing to deliver superior sound quality. Designed for a variety of applications such as portable audio devices, automotive systems, and entertainment systems, this CODEC provides efficiency and high performance. With cutting-edge technologies, it handles complex signal conversions with minimal power consumption. This CODEC supports numerous interface standards, making it a versatile component in numerous audio architectures. It's engineered to offer precise sound reproduction and maintains audio fidelity across all use cases. The integrated components within the CODEC streamline design processes and reduce the complexity of audio system implementations. Furthermore, the Mixed-Signal CODEC incorporates features that support high-resolution audio, ensuring compatibility with high-definition sound systems. It's an ideal choice for engineers looking for a reliable and comprehensive audio processing solution.
The Polar ID Biometric Security System by Metalenz revolutionizes smartphone biometric security with its advanced imaging capabilities that capture the full polarization state of light. This system detects unique facial polarization signatures, enabling high-precision face authentication that even sophisticated 3D masks cannot deceive. Unlike traditional systems requiring multiple optical modules, Polar ID achieves secure recognition with a single image, ideal for secure digital payments and more. Operating efficiently across various lighting conditions, from bright daylight to complete darkness, Polar ID ensures robust security without compromising user convenience. By leveraging meta-optic technology, it offers a compact, cost-effective alternative to structured light solutions, suitable for widespread deployment across millions of mobile devices.
The Dynamic Neural Accelerator II (DNA-II) is a highly efficient and versatile IP specifically engineered for optimizing AI workloads at the edge. Its unique architecture allows runtime reconfiguration of interconnects among computing units, which facilitates improved parallel processing and efficiency. DNA-II supports a broad array of networks, including convolutional and transformer networks, making it an ideal choice for numerous edge applications. Its design emphasizes low power consumption while maintaining high computational performance. By utilizing a dynamic data path architecture, DNA-II sets a new benchmark for IP cores aimed at enhancing AI processing capabilities.
xcore.ai is a powerful platform tailored for the intelligent IoT market, offering unmatched flexibility and performance. It boasts a unique multi-threaded micro-architecture that provides low-latency and deterministic performance, perfect for smart applications. Each xcore.ai contains 16 logical cores distributed across two multi-threaded processor tiles, each equipped with 512kB of SRAM and capable of both integer and floating-point operations. The integrated interprocessor communication allows high-speed data exchange, ensuring ultimate scalability across multiple xcore.ai SoCs within a unified development environment.
The NeuroVoice chip by Polyn Technology is engineered to improve voice processing capabilities for a variety of consumer electronic devices, particularly focusing on addressing challenges associated with traditional digital voice solutions. Built on the NASP platform, this AI chip is tailored to operate efficiently in noisy environments without relying on cloud-based processing, thus ensuring privacy and reducing latency. A key feature of NeuroVoice is its ultra-low power consumption, which allows continuous device operation even in power-sensitive applications like wearables and smart home devices. It includes abilities such as always-on voice activity detection, smart voice control, speaker recognition, and real-time voice extraction. This amalgamation of capabilities makes the NeuroVoice a versatile component in enhancing voice-controlled systems' efficacy. NeuroVoice stands out by seamlessly integrating into devices, offering users the advantage of precise voice recognition and activity detection with minimal energy demands. It further differentiates itself by delivering clear communication even amidst irregular background noises, setting a new benchmark for on-device audio processing with its advanced neural network-driven design.
The C100 is designed to enhance IoT connectivity and performance with its highly integrated architecture. Built around a robust 32-bit RISC-V CPU running up to 1.5GHz, this chip offers powerful processing capabilities ideal for IoT applications. Its architecture includes embedded RAM and ROM memory, facilitating efficient data handling and computations. A prime feature of the C100 is its integration of Wi-Fi components and various transmission interfaces, enhancing its utility in diverse IoT environments. The inclusion of an ADC, LDO, and a temperature sensor supports myriad applications, ensuring devices can operate in a wide range of conditions and applications. The chip's low power consumption is a critical factor in this design, enabling longer operation duration in connected devices and reducing maintenance frequency due to less charging or battery replacement needs. This makes the C100 chip suitable for secure smart home systems, interactive toys, and healthcare devices.
The Titanium Ti375 FPGA is a high-density, low-power solution featuring Efinix’s Quantum® compute fabric. This state-of-the-art FPGA is equipped with a range of advanced features including a hardened RISC-V block, SerDes transceiver, and an LPDDR4 DRAM controller. It is designed to meet the demands of applications requiring high computational efficiency and low power consumption, making it ideal for rapid application development and deployment. This FPGA offers exceptional processing capabilities and flexibility, helping to reduce design complexity while optimizing performance for data-intensive applications. Its small package footprint is suitable for highly integrated systems, providing seamless compliance with existing protocols such as MIPI D-PHY. This combination of features makes it suitable for use in edge computing devices, advanced automotive systems, and next-generation IoT applications. Additionally, the Titanium Ti375 allows developers to exploit its high-speed I/O capabilities, facilitating robust peripheral interfacing and data transfer. The device also benefits from bitstream authentication and encryption to secure the intellectual property embedded within. As part of its wide-ranging applicability, it suits industrial environments that require solid reliability and long-term product lifecycles.
The Topaz FPGA family by Efinix is crafted for high-performance, cost-efficient production volumes. Topaz FPGAs combine an advanced architecture with a low-power, high-volume design, suitable for mainstream applications. These devices integrate seamlessly into systems requiring robust protocol support, including PCIe Gen3, LVDS, and MIPI, making them ideal for machine vision, industrial automation, and wireless communications. These FPGAs are designed to pack more logic into a compact area, allowing for enhanced innovation and feature addition. The architecture facilitates seamless migration to higher performance Titanium FPGAs, making Topaz a flexible and future-proof choice for developers. With support for various BGAs, these units are easy to integrate, thus enhancing system design efficiency. Topaz FPGAs ensure product longevity and a stable supply chain, integral for applications characterized by long life cycles. This ensures systems maintain high efficiency and functionality over extended periods, aligning with Efinix’s commitment to offering durable and reliable semiconductor solutions for diverse market needs.
The iniDSP is a high-performance 16-bit fixed-point Digital Signal Processor (DSP) built for system-on-chip applications. Its architecture, inspired by the CD2450A design from Clarkspur Inc., provides exceptional processing power with minimal energy consumption, making it well-suited for both consumer electronics like hearing aids and more complex control systems in industrial settings. This DSP core offers enhanced computational capabilities, including a 16x16 multiplier with a 40-bit accumulator, which allows for precise and rapid signal processing tasks. Its flexible and fully synchronous design ensures compatibility with a variety of systems and technologies, supporting seamless integration into existing infrastructures or new developments. The iniDSP core is accompanied by comprehensive software tools, including an assembler, linker, and debugger, providing a solid foundation for developers to implement complex algorithms efficiently. The design’s emphasis on low power consumption, combined with robust high-performance operations, makes it an attractive choice for a broad range of applications ranging from audio processing to adaptive control systems.
Dyumnin Semiconductors' RISCV SoC is a robust solution built around a 64-bit quad-core server-class RISC-V CPU, designed to meet advanced computing demands. This chip is modular, allowing for the inclusion of various subsystems tailored to specific applications. It integrates a sophisticated AI/ML subsystem that features an AI accelerator tightly coupled with a TensorFlow unit, streamlining AI operations and enhancing their efficiency. The SoC supports a multimedia subsystem equipped with IP for HDMI, Display Port, and MIPI, as well as camera and graphic accelerators for comprehensive multimedia processing capabilities. Additionally, the memory subsystem includes interfaces for DDR, MMC, ONFI, NorFlash, and SD/SDIO, ensuring compatibility with a wide range of memory technologies available in the market. This versatility makes it a suitable choice for devices requiring robust data storage and retrieval capabilities. To address automotive and communication needs, the chip's automotive subsystem provides connectivity through CAN, CAN-FD, and SafeSPI IPs, while the communication subsystem supports popular protocols like PCIe, Ethernet, USB, SPI, I2C, and UART. The configurable nature of this SoC allows for the adaptation of its capabilities to meet specific end-user requirements, making it a highly flexible tool for diverse applications.
Trion FPGAs by Efinix are engineered for the fast-paced edge and IoT markets. Built on a 40 nm process, these FPGAs offer a wide range of logic density from 4K to 120K logic elements. They bring power-performance-area advantages for general-purpose custom logic applications, including mobile and IoT markets, while also enhancing computing capabilities in emerging technologies such as deep learning and edge computing. The Trion family is known for its small packages, which enable its deployment in highly integrated systems. Features such as the DDR DRAM Controller and MIPI CSI-2 Controller are hardened into the architecture, ensuring smooth data management and transfer in applications that demand real-time processing. This makes Trion FPGAs an excellent choice for various industrial, medical, and consumer applications where space and power efficiency are critical. With a focus on longevity, Efinix supports Trion FPGAs with a stable product lifecycle, aligning with market requirements for dependable, production-ready solutions. These FPGAs are versatile enough to serve applications in edge computing, video processing, industrial automation, and more, offering a complete system solution with their embedded interfaces and soft processor systems.
Syntacore's SCR5 is an efficient application-class processor core, crafted to deliver exceptional performance with Linux compatibility. It integrates a 9-stage in-order pipeline along with floating-point capabilities, making it suitable for diverse processing tasks. Adopting the latest RISC-V ISA extensions, SCR5 ensures high-speed computations and secure operations equipped with bit manipulation and cryptography features. The SCR5’s robust memory subsystem ensures data integrity and rapid access, featuring L1 and L2 caches, a TCM, and an MMU. High-performance multicore support extends up to four cores, promoting parallel processing capabilities necessary in industrial and IoT environments. Its interface support, including JTAG and AXI4, streamlines integration into varied infrastructures. For developers, the SCR5 core is accompanied by advanced toolkits designed to accelerate application deployment. These include pre-built OS options and native toolchains, all backed by thorough documentation to enhance the development lifecycle.
The BAT Audio Platform represents a leading-edge audio IP solution developed for battery-powered System-on-Chip (SoC) applications. Intelligently designed to offer unparalleled audio fidelity, this platform significantly enhances auditory features in SoCs, accommodating uses from active noise cancellation and beamforming to voice user interfaces. With a focus on low energy consumption, BAT ensures extended battery life, optimizing devices for efficient operations. Offering an expansive array of off-the-shelf solutions combined with numerous customization options, BAT enables rapid market readiness and risk reduction by building upon top-tier, silicon-proven IPs. This platform not only accelerates project timelines but also decreases development costs, freeing clients to focus on their core competencies while leveraging Dolphin's audio expertise. Incorporating features like WhisperTrigger for ultra-low-power voice activity detection and WhisperExtractor for energy-saving analog feature extraction, BAT represents a holistic approach to advancing audio technology. The platform’s digital and mixed-signal solutions provide seamless integration and configuration, ensuring high fidelity and low power consumption across a spectrum of applications from consumer electronics to IoT devices.
The RV32EC_P2 core is a streamlined 2-stage pipeline RISC-V processor core aimed at small, low-power embedded applications. This processor core is designed to run only trusted firmware and can be implemented in both ASIC and FPGA-based design flows. It is compliant with RISC-V User-Level ISA V2.2, incorporating standard compressed instructions to minimize code size and optional integer multiplication and division instructions for flexibility. With a simple machine-mode privileged architecture, it supports direct physical memory addressing, along with an external interrupt controller for expanded interrupt handling. The core also integrates tightly-coupled memory interfaces and a low-power idle state option, making it highly adaptable for various low-energy applications.
The AIoT Platform from SEMIFIVE is crafted to create specialized IoT and edge processing devices with efficiency and cutting-edge technology. Leveraging silicon-proven design components on Samsung's 14nm process, it streamlines the development of high-performance, power-efficient applications. This platform is equipped with dual SiFive U54 RISC-V CPUs, LPDDR4 memory, and comprehensive interfaces like MIPI-CSI and USB3.0. Targeted at consumer electronics such as wearables and smart home devices, this platform supports a wide array of IoT applications, including industrial IoT and smart security systems. Its architectural flexibility allows customization of system specifications, enabling designers to address the unique requirements of diverse IoT deployments. The AIoT platform supports applications with rigorous demands for power efficiency and cost-effectiveness, ensuring swift time-to-market and reduced development cycles. With a collaborative ecosystem of package design, board evaluation, and software, it paves the way for innovative IoT solutions that seamlessly integrate advanced technologies into everyday devices.
The NMFx Night Mode Effect is tailored to improve the intelligibility of quiet sounds, such as speech, while suppressing loud sounds that can disrupt neighboring spaces. This mode is especially applicable in nighttime settings where maintaining a peaceful environment is crucial. It provides an enhanced audio experience by balancing the volume output without losing clarity of essential sounds. The NMFx employs sophisticated signal processing algorithms to dynamically manage audio levels, ensuring that vital sounds, like dialogue, are boosted even when the overall soundscape is hushed. It’s an ideal solution for consumer electronics like televisions and sound systems, designed to prevent disruptions in shared living spaces. This effect is a boon for users who prefer a balanced soundscape that won’t disturb others, while still allowing full engagement with the media content. Incorporating NMFx into products can significantly improve consumer satisfaction, especially in apartments or other shared living environments.
The Chimera Software Development Kit (SDK) by Quadric empowers developers with a robust platform to create and deploy complex AI and machine learning applications efficiently. It offers tools for developing, simulating, profiling, and deploying software, perfectly adaptable for Quadric’s Chimera GPNPU. The SDK simplifies coding by allowing integration of machine learning graph code with traditional C++ code into a singular, streamlined programming flow. This SDK includes the Chimera LLVM C++ compiler which utilizes state-of-the-art compiler infrastructure tailored to Chimera's specific instruction sets, driving efficiency and optimization. The SDK is compatible with Docker environments, enabling seamless on-premises or cloud-based deployment. This flexibility supports the versatile development needs of corporates working with private proprietary models while streamlining the toolchain for increased productivity. Its Graph Compiler transcodes machine learning inference models from popular frameworks like TensorFlow and PyTorch into optimized C++ using the Chimera Compute Library. This feature ensures that even the most complex AI models are efficiently deployed, lowering computational overheads and maximizing processing potential. Hence, the Chimera SDK serves as an invaluable tool for engineers aiming to expedite the deployment of cutting-edge ML algorithms both effectively and swiftly.
The RayCore MC Ray Tracing GPU is a cutting-edge GPU IP known for its real-time path and ray tracing capabilities. Designed to expedite the rendering process efficiently, this GPU IP stands out for its balance of high performance and low power consumption. This makes it ideal for environments requiring advanced graphics processing with minimal energy usage. Capitalizing on world-class ray tracing technology, the RayCore MC ensures seamless, high-quality visual outputs that enrich user experiences across gaming and metaverse applications. Equipped with superior rendering speed, the RayCore MC integrates sophisticated algorithms that handle intricate graphics computations effortlessly. This GPU IP aims to redefine the norms of graphics performance by combining agility in data processing with high fidelity in visual representation. Its real-time rendering finesse significantly enhances user interaction by offering a flawless graphics environment, conducive for both immersive gaming experiences and professional metaverse developments. The RayCore MC GPU IP is also pivotal for developers aiming to push the boundaries of graphics quality and efficiency. With an architecture geared towards optimizing both visual output and power efficiency, it stands as a benchmark for future GPU innovations in high-demand industries. The IP's ability to deliver rapid rendering with superior graphic integrity makes it a preferred choice among developers focused on pioneering graphics-intensive applications.
The Akida1000 Reference SoC is a fully functional silicon solution designed to demonstrate the capabilities of BrainChip's neuromorphic AI technology. Built to showcase the potential of the Akida architecture, this SoC integrates the neural processor with a variety of connectivity options and memory interfaces, allowing for comprehensive evaluation in real-world settings.\n\nThis reference chip is ideal for developers and businesses looking to explore AI's vast applications at the edge, offering a seamless way to prototype and build AI systems without cloud dependency. The Akida1000 is engineered to function as either an embedded accelerator or a standalone AI coprocessor, supporting a breadth of use cases requiring efficient on-device data processing.\n\nAkida1000's flexibility and high performance make it suitable for diverse industries including automotive, healthcare, and industrial sectors, facilitating predictive analytics and complex problem-solving where traditional processors might struggle. Its design includes standard interfaces like PCIe, USB, and various I/O options, making it easily integrable into existing infrastructures.
HFFx Auto is a cutting-edge high-frequency restoration technology that addresses audio quality challenges often present in modern multimedia. This effect compensates for high-frequency losses resulting from lossy codecs, data throttling, and older legacy codecs used in streaming, broadcast, and digital TV content. It is particularly effective on material that was originally bandwidth-limited, such as recordings with low sampling rates. The functionality of HFFx Auto extends beyond simple restoration. It dynamically adjusts to varying channel bandwidths, ensuring consistent high-quality audio output regardless of the transmission medium. This adaptability also allows for up-conversion to higher sampling rates, providing a more open and natural sound. For manufacturers and service providers, HFFx Auto represents a solution to the perennial problem of audio degradation in compressed digital media, offering them a means to significantly enhance user experience by restoring clarity and depth to audio tracks.
The Codasip L-Series DSP Core is engineered to deliver exceptional digital signal processing capabilities, boasting high configurability to accommodate a range of signal processing tasks. Ideal for applications that require intensive computation like audio processing, the L-Series excels in scenarios demanding high performance from constrained power and area budgets. Utilizing the RISC-V architecture, it supports extensive customization, empowering users to tweak instruction sets and enhance microarchitectural elements for tailored efficiency. Beyond its raw processing prowess, the L-Series DSP Core incorporates advanced verification protocols ensuring reliability in critical operations, all while staying adaptable to the shifting demands of modern technological applications.
AON1100 is acclaimed as the leading edge AI chip optimized for voice and sensor applications. With a power consumption of less than 260µW, it excels in delivering near-perfect accuracy even in challenging environments. This makes it indispensably suited for continuously active devices that require both precision and energy efficiency.
The Cottonpicken DSP Engine is a sophisticated micro-coded digital signal processor designed to handle complex data conversion tasks efficiently. Developed in-house, this DSP engine offers versatility in pixel data manipulation, including Bayer pattern decoding and YUV conversion. It supports various formats such as YUV 4:2:2 or RGB and is capable of processing filter kernels up to 5x5, making it suitable for a wide range of image processing applications. Capable of operating at clock speeds up to 150 MHz, this engine provides high-speed data processing applicable to real-time video conversion and multimedia tasks. The architecture is designed to facilitate the seamless translation of raw pixel data into formats suitable for further processing or display. Given its powerful matrix operations and programmable delay configurations, the Cottonpicken DSP Engine is ideal for real-time image conversion tasks where flexibility and speed are critical. This DSP core, available as a closed-source netlist, emphasizes section5's ability to deliver high-performance solutions tailored to specific customer needs. By incorporating advanced matrix operations and various color space conversions, the Cottonpicken engine offers an all-inclusive solution for developers looking to implement advanced digital signal processing in their products while maintaining high throughput and precision.
MajEQ is a versatile equalization tool engineered to optimize audio outputs by precisely matching frequency response target curves. It can automatically or semi-automatically adjust to achieve the desired sound, whether for correcting loudspeaker outputs or enhancing audio playback quality across various devices. This tool is highly beneficial in both fixed installations, like venue sound systems, and dynamic settings where responsive environmental adjustments are necessary. Users can tailor sound responses in real-time, ensuring that the audio output remains balanced and high-fidelity, regardless of external factors. MajEQ is a valuable asset for audio manufacturers looking to add a layer of sophistication to their products. By improving sound quality and adaptability, this tool not only meets but often exceeds user expectations for audio performance, making it integral for high-end audio solutions and consumer electronics alike.
The Maverick-2 Intelligent Compute Accelerator is an advanced computing architecture that revolutionizes the handling of high-performance tasks through intelligent software-defined hardware. It optimizes workloads in real time, ensuring that computational resources are used efficiently to accelerate applications in high-performance computing (HPC) and artificial intelligence (AI). Designed to support demanding workloads, Maverick-2 improves developer productivity and reduces the time-to-solution significantly by bypassing the traditional need for extensive application porting. This cutting-edge system uses an adaptable architecture that dynamically adjusts to application demands, freeing developers to focus on scientific or computational breakthroughs without being encumbered by technical complexities. With support for a wide array of programming languages and frameworks, including C/C++, FORTRAN, and OpenMP, Maverick-2 provides a flexible platform that reduces the need for code rewriting or vendor-specific tools. Operating on TSMC's advanced 5nm process technology, the Maverick-2 boasts significant power efficiencies and scalability, with deployments in single or dual configurations to suit various computational needs. It combines HBM3E memory and high-bandwidth interfaces to ensure high throughput and low-latency data access, crucial for many contemporary scientific and industrial applications. Moreover, the intelligent architecture adapts over time, future-proofing investments by evolving alongside new computing needs and technologies.
The TSP1 Neural Network Accelerator is a state-of-the-art AI chip designed for versatile applications across various industries, including voice interfaces, biomedical monitoring, and industrial IoT. Engineered for efficiency, the TSP1 handles complex workloads with minimal power usage, making it ideal for battery-powered devices. This AI chip is capable of advanced bio-signal classification and natural voice interface integration, providing self-contained processing for numerous sensor signal applications. A notable feature is its high-efficiency neural network processing element fabric, which empowers signal pattern recognition and other neural network tasks, thereby reducing power, cost, and latency. The TSP1 supports powerful AI inference processes with low latency, enabling real-time applications like full vocabulary speech recognition and keyword spotting with minimal energy consumption. It's equipped with multiple interfaces for seamless integration and offers robust on-chip storage for secure network and firmware management. The chip is available in various packaging options to suit different application requirements.
The SmartFx Audio Effects Suite is a comprehensive set of tools designed to elevate the audio experience on consumer devices. By integrating advanced audio processing capabilities, it delivers natural and fuller sound that includes enhanced bass and dynamic range control. Users can enjoy an easy-to-use graphical interface that allows real-time adjustments, making it a versatile solution for audio content enhancement. One of the standout features of SmartFx is its ability to adapt the audio output to different listening environments, providing consistent quality whether at home or on the go. The suite employs sophisticated algorithms to ensure the audio maintains intelligibility and clarity, even when faced with lossy codec challenges or data throttling. SmartFx is perfect for manufacturers looking to integrate premium sound capabilities into their products. By utilizing this suite, devices can offer improved audio fidelity, meeting the high expectations of modern consumers who demand rich, immersive sound experiences.
The AON1000 is a cutting-edge AI processing engine designed with super low-power and high-accuracy capabilities for edge applications. It's specifically built for efficient wake word, voice command, acoustic event, and speaker identification, making it ideal for devices that need to be always on, such as wearables and IoT devices. AON1000 utilizes proprietary neural network architectures and tuned inference algorithms, ensuring unmatched performance in real-world conditions that are typically noisy.
The AON1020 enhances the capabilities of edge AI by addressing not only voice and audio but also various sensor applications. It extends the AONSens™ Neural Network cores line to include comprehensive sensor activities such as human motion detection. This IP delivers its AI processing engine in Verilog RTL, making it versatile for inclusion in numerous ASIC and FPGA designs, while maintaining a focus on low power consumption and high functional accuracy.
The PB8051 Microcontroller Core is a sophisticated FPGA-based implementation that emulates the popular 8051 microcontroller family, specifically designed for Xilinx FPGAs. It offers comprehensive software compatibility with the 8031, enabling the execution of object code developed for 8051 design tools. This core includes essential components such as two timers and a serial port, facilitating diverse microcontroller functions. Constructed to optimize resource usage, the PB8051 is significantly compact, leveraging only 300 slices, a mere fraction compared to competing cores. The architecture employs the Xilinx PicoBlaze microcontroller, allowing for superior performance by operating at a clock rate of 4 times the legacy 8051. Its unique design ensures that program code can be executed from either the FPGA's internal Block RAM or an external EPROM. Roman-Jones provides a comprehensive reference design and simulation tools, aiding developers in seamlessly integrating the microcontroller with their systems. The core's support for existing 8051 object code and flexible configuration through VHDL or Verilog makes it an ideal choice for embedding a microcontroller within FPGAs.
Processor IP includes robust solutions based on industry-standard ARM cores, such as the ARM926EJ-S and ARM946E-S. These processor cores are designed to facilitate the development of powerful yet energy-efficient processing units, meeting the needs of both general and application-specific integrated circuits. Additionally, these cores are equipped to handle complex tasks with low latency and high throughput, ideal for multimedia processing, IoT devices, and high-performance computing tasks. The processors are complemented with a wide variety of peripheral options, allowing for extensive flexibility in system architecture design. Supplementary features include various memory controllers and integrated development tools to streamline system integration and reduce development time. Processor IP is adaptable across several design nodes, providing a versatile solution to meet the diverse demands of modern SoC designs. Their integration helps accelerate development timelines while providing a reliable foundation for innovative electronic products, making them suitable for a variety of applications, from consumer electronics to industrial control systems.
VisualSim Technology IP offers a comprehensive library of over 150 pre-designed blocks that facilitate rapid system design and verification. These blocks cover a wide array of domains from hardware interfaces and processors to resource management systems and network models, each defined with precise functionality, timing, and power attributes. Each IP block is modeled according to standards or vendor datasheets and validated against timing diagrams ensuring accurate implementation in system-level models. The blocks include a variety of specifications that users can manipulate, such as buffer sizes, scheduler settings, and arbitration schemes, making them highly customizable to specific design requirements. The technology IP also supports polymorphic behavior and standard connectivity across different hardware and interfaces, eliminating the need for custom converters. Designed to maintain adherence to the latest industry standards, VisualSim Technology IP provides backward compatibility and regular updates to support evolving project needs. Users are given the ability to delve into the internals of these models, modify them as required, and conduct extensive analysis through a suite of reporting tools that provide insights on utilization, delays, and effectiveness of arbitration schemes.
The ARC Processor IP provided by Synopsys stands out with its customizable architecture tailored for a variety of embedded system applications. This processor IP supports 32-/64-bit execution, featuring an extensible instruction set that can be modified for specific processing needs. Suitable for automotive applications requiring real-time performance, the ARC Processor IP delivers energy-efficient operations, essential for applications like IoT devices and mobile computing. Additionally, the processor infrastructure is supported by a comprehensive toolchain, enabling developers to fine-tune software performance to boost system efficiency. Its low power and high-performance capabilities make it a preferred choice for modern, versatile embedded designs.
The Edge AI Neural Network Fabric 2.0 from Uniquify signifies a leap in AI-driven technology for next-generation neural networks. Designed to support advanced network models like CNN, RNN, and GANs, this fabric offers a comprehensive solution for machine learning applications requiring efficiency and scalability. Aimed at reducing the power and area footprint, Edge AI Neural Network Fabric 2.0 is engineered to be cost-effective while maintaining high-performance standards. Its application spans across IoT, smart devices, and any AI/ML driven systems, ensuring robust performance given diverse operational constraints. This cutting-edge technology provides an optimized platform for implementing AI solutions in silicon, making it a preferred choice for industries pursuing advancements in artificial intelligence and machine learning. With its innovative approach, it enables products to achieve superior performance without compromising on size, cost, or power efficiency.
The nxFramework Development Kit is a comprehensive FPGA development environment aimed at simplifying the creation and management of ultra-low latency applications in the financial industry. This framework combines hardware and software tools to support a wide range of FPGA applications, including trading engines, risk gateways, and data distribution systems. With a focus on reducing time-to-production, nxFramework offers a vast library of utility cores and connectivity components that provide essential building blocks for high-performance projects. Features like memory management and math functions are optimized for low latency, helping developers efficiently build and deploy applications. The platform also includes in-depth support for test bench setups, simulation tools, and live debugging environments, ensuring a seamless development process from conception to implementation. Capable of integrating with various hardware platforms, nxFramework facilitates the development of portable, robust, and scalable FPGA solutions tailored for the fast-evolving financial markets.
ARDSoC delivers high-efficiency DPDK for ARM-based SoCs, including MPSoC architectures by leveraging Atomic Rules' extensive datacenter experience. By bypassing the Linux network stack, ARDSoC enhances ARM processor performance by drastically reducing memory pressure and power usage, while minimizing latency. This robust solution supports packet vector and container-aware applications in embedded environments, allowing for seamless protocol bridging for technologies such as CCIX, RDMA, RoCE, and NVMe-oF. By utilizing zero-copy DPDK memory structures, ARDSoC optimizes ARM cache performance, while maintaining full coherence and packet buffering capabilities. Users benefit from using pre-existing DPDK applications without modification, helping to transition smoothly to ARM-based platforms. The plugin services for Xilinx environments, provide notable flexibility and system efficiency, especially for cloud-edge devices. Key benefits include a reduced total cost of ownership (TCO) by utilizing ARM strengths over conventional x86 solutions, offering up to 64 Gbps throughput and perfect packet integrity. ARDSoC's features include advanced Poll Mode Driver (PMD) optimized for ARM A53 and A72 MPSoCs, offering microsecond-level latency interactions to ensure high-speed, lossless packet processing. Its design ensures ARM cores outperform traditional processors, forming a key element in efficient modern network infrastructures by enabling a plug-and-play experience with existing hardware setups.
This is a wireless audio headset featuring active noise reduction technology, suitable for delivering crystal clear audio to passengers. Designed to enhance the audio experience during flights, it delivers exceptional sound quality and effective ambient noise reduction, making it ideal for consistent and high-quality in-flight communication.
The FlashKit Platform is specifically designed to enhance energy efficiency in system-on-chip (SoC) development by leveraging non-volatile memory technologies. It supports various cutting-edge protocols to improve storage solutions in SoCs while minimizing power consumption, crucial for portable and IoT devices that demand long battery life. This platform simplifies the integration of flash memory into SoCs, facilitating streamlined and efficient design processes. This comprehensive platform not only aids in SoC design but also incorporates robust security features, ensuring that sensitive data is protected in embedded systems. The FlashKit Platform provides advanced testing capabilities, including build-in self-test (BIST) features, to ensure optimal functionality throughout the lifecycle of the chip. Incorporating the FlashKit Platform into SoC development projects results in devices that combine efficient data storage with reduced power draw, aligning with the growing demand for sustainable and powerful computing solutions. Its adaptability to various process nodes and compatibility with multiple architectures further enhances its appeal.
The Floating Point Library Core from Dillon Engineering provides customizable IEEE 754 compliant operations, a necessity for applications demanding precise mathematical calculations, such as scientific computing and financial analysis. Utilizing the ParaCore Architect technology, this core allows users to tailor the precision and logic used according to their specific needs, thereby optimizing resource use. This library supports both single and double precision calculations, offering pipeline and parallel processing options to enhance the processing speed, a feature critical in high-performance computing environments. By rendering special IEEE 754 cases optional, it reduces resource consumption in applications where these are unnecessary. Designed for easy incorporation into VHDL or Verilog projects, the Floating Point Library modules are engineered to ensure seamless integration, making it a versatile choice for varied applications. The customizability and efficiency of this core help in achieving high computational performance while managing power and area constraints, vital for sophisticated computing challenges.
The AON1010 is tailored for processing microphone data for voice and audio recognition. As part of the AONVoice™ Neural Network cores line, this IP provides a robust framework for developing applications that require high accuracy in varying auditory environments. Its delivery in Verilog RTL makes it accessible for a range of fabrication technologies, such as ASIC and FPGA, allowing vast customization in product development.
Application Specific Instruction-set Processors (ASIPs) from Wasiela provide highly specialized, programmable hardware accelerators designed to excel in specific application domains. By offering an instruction set tailored to particular tasks, ASIPs achieve optimal performance and efficiency in processing. These processors are pivotal in demanding fields where low power and high configurability are paramount. They stand as versatile solutions in Wasiela's portfolio, adaptable for a broad range of digital systems needing customized computing power.
An advanced wireless headset, the iCan WiFi model offers high-fidelity sound for onboard audio experiences. Equipped with a high-quality microphone optimized for audioconferences, it is a critical component for communication in the air. Designed to be adaptable to the demanding acoustic environments of flight, it provides clarity and comfort.
AONDenoise stands out as a revolutionary single-microphone denoiser, capable of delivering crystal-clear audio by substantially reducing background noise. With less than 1ms latency, it employs sophisticated AI algorithms to enhance listening experiences across various scenarios, such as concerts or crowded places. Its compact and efficient design makes it ideal for integration into numerous applications where audio clarity is paramount.
Building upon the foundation of AON1100, the AON1120 introduces enhanced input/output capabilities and RISC-V support. Designed for smart home and automotive contexts, it provides extensive flexibility in developing applications that benefit from more robust processing and expanded interfacing opportunities.
This IP core aligns with the Inter-IC Sound (I2S) serial bus protocol, enabling seamless digital audio interconnectivity within AMD FPGA systems. It's designed for digital audio applications where precise audio transmission and receiving are essential, supporting the integration of I2S functionalities effectively and efficiently.
The PanAccelerator is Panmnesia's AI accelerator featuring an innovative CXL-enabled design that facilitates rapid scaling of AI services. It offers hardware acceleration through flexible memory resources composability, enabled by CXL technology. The accelerator's design allows for quick adaptation to evolving compute requirements by efficiently disaggregating compute and memory resources. Equipped with a robust compute unit optimized for parallel vector and tensor operations, PanAccelerator ensures the cost-effective deployment of large-scale AI services without sacrificing performance.
VocalFusion is a range of advanced voice interfaces designed for seamless voice control integration in devices. With a focus on delivering high-performance voice capture even in challenging environments, VocalFusion leverages sophisticated DSP and acoustic signal processing technologies. Equipped with multiple microphone architectures and beamforming capabilities, VocalFusion enables clear voice recognition over long distances, making it an optimal choice for consumer electronics and smart home applications. Its interface versatility supports connections via USB or I2S, optimizing it for numerous uses.
The Electrical PAM-X DSP from 1-VIA is engineered to enhance signal transmission over copper networks, maximizing data throughput while minimizing power consumption. This product is pivotal for active electrical cables, enabling long-distance transmission with superior signal integrity. With its state-of-the-art design, the Electrical PAM-X DSP sets new standards in high-speed data movement, making it an indispensable asset for modern data centers. This DSP technology paves the way for revolutionary advancements in connectivity by significantly improving bandwidth performance over existing copper infrastructures. Integrating seamlessly into diverse applications, the Electrical PAM-X DSP ensures reliable and efficient data processing across extensive networks. Its innovative approach allows for enhanced signal clarity, catering to industries seeking high-speed, low-power solutions. Ideal for a variety of telecommunications needs, the DSP serves as a cornerstone for developing improved copper-based communication modules. Benefiting from 1-VIA's advanced engineering and extensive testing, the Electrical PAM-X DSP promises market-leading performance. Users can expect unparalleled data handling capabilities, which are crucial for the ongoing evolution of digital and telecommunication infrastructures. Its compatibility with existing systems makes it easy to deploy and manage, offering great flexibility to users seeking to upgrade their networking environments and satisfy increasing demands for bandwidth-intensive applications.
TMC's Opus Encoder / Decoder stands out in the realm of audio processing with its broad accessibility across different platforms. It provides high-quality audio compression and decompression, ensuring minimal data loss in transmission—vital for both consumer electronics and professional telecommunication systems. The IP delivers superb audio fidelity essential for music, voice calls, and conferencing applications. This solution utilizes the Opus codec, known for its versatility and adeptness in managing a range of audio data types, from variable bit rates to high-definition sound. It's engineered for low latency, making it fitting for interactive applications that require swift processing times. The encoder/decoder is also notable for its resource efficiency, offering excellent audio output without overextending processing power. It's well-suited for deploying in high-traffic environments demanding robust performance across myriad devices and network conditions.
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