All IPs > Multimedia > WMA
The WMA category within our Multimedia section boasts a comprehensive collection of semiconductor IPs designed for superior audio streaming and playback. Short for Windows Media Audio, WMA is an audio format that offers users the ability to enjoy high-quality sound in a compact file size, perfect for modern mobile devices, streaming services, and consumer electronics.
WMA semiconductor IPs are integral to developing advanced multimedia solutions that require efficient audio compression, decompression, and rendering capabilities. These IPs enable designers and developers to integrate robust audio playback functionalities into a variety of consumer electronics, such as smartphones, tablets, portable media players, and home entertainment systems. The IPs in this category facilitate high-performance audio applications, ensuring that devices can deliver a premium listening experience while managing power consumption effectively.
In today’s digitally connected environment, the demand for seamless audio experiences is paramount. By leveraging WMA semiconductor IPs, manufacturers can create devices that support a wide range of audio formats and deliver crystal clear audio to the end-user. These semiconductor IP solutions are engineered to provide exceptional audio quality and reliable performance, ideal for both high-end audio systems and everyday media gadgets.
Moreover, our WMA IPs are optimized for interoperability and ease of integration into existing systems, making them a versatile choice for developers aiming to advance their multimedia offerings. These solutions support a wide array of applications, from streaming audio over wireless networks to enhancing digital broadcasts, providing you with the building blocks necessary for cutting-edge audio products.
The Avispado core is a 64-bit in-order RISC-V processor that provides an excellent balance of performance and power efficiency. With a focus on energy-conscious designs, Avispado facilitates the development of machine learning applications and is prime for environments with limited silicon resources. It leverages Semidynamics' innovative Gazzillion Misses™ technology to address challenges with sparse tensor weights, enhancing energy efficiency and operational performance for AI tasks. Structured to support multiprocessor configurations, Avispado is integral in systems requiring cache coherence and high memory throughput. It is particularly suitable for setups aimed at recommendation systems due to its ability to manage numerous outstanding memory requests, thanks to its advanced memory interface architectures. Integration with Semidynamics' Vector Unit enriches its offering, allowing dense computations and providing optimal performance in handling vector tasks. The ability to engage with Linux-ready environments and support for RISC-V Vector Specification 1.0 ensures that Avispado integrates seamlessly into existing frameworks, fostering innovative applications in fields like data centers and beyond.
Ubi.cloud is an innovative solution by Ubiscale that transforms the landscape of IoT device geolocation. It effectively transfers the power-intensive processes of GPS and Wi-Fi to the cloud, thereby significantly reducing the size, power usage, and cost of tracking devices. Ubi.cloud's focus is on providing ubiquitous geolocation by combining GPS for outdoor navigation with Wi-Fi for precise indoor and urban tracking. The architecture of Ubi.cloud integrates embedded technologies like UbiGNSS and UbiWIFI, and aims for substantial power savings and efficient operation. UbiGNSS minimizes power usage during location computation, boasting impressive power savings compared to traditional GPS cold-start processes. Meanwhile, UbiWiFi offers rapid location determination, outperforming standard Wi-Fi sniffing techniques. Ubi.cloud supports low-power wide-area networks like Sigfox, LoRa, and NB-IoT, ensuring versatile application across various IoT infrastructures. The solution provides not just location but accuracy metrics, while the device's power can be completely turned off between location updates to conserve energy. This combination of efficiency, adaptability, and cost-effectiveness makes Ubi.cloud an ideal solution for developers aiming to enhance IoT device capabilities with minimal resource consumption.
The Atrevido core is a highly customizable 64-bit out-of-order RISC-V processor. It is adaptable for multiprocessor environments, supporting 2/3/4-wide configurations. Designed for intensive machine learning and HPC applications, it integrates seamlessly with vector units, capitalizing on its inherent capability to manage sparse datasets and reduce memory latency through Semidynamics' proprietary Gazzillion Misses™ technology. The core supports high-bandwidth memory systems, making it ideal for environments requiring efficient data handling and processing. Atrevido's architecture includes a range of sophisticated features such as direct support for unaligned accesses and comprehensive register renaming capabilities. Further, its compatibility with standard Linux environments and support for RISC-V vector specifications underscore its versatility. Applications in AI use its ability to decode multiple instructions per cycle, supporting both complex matrix operations and real-time processing needs. The core's capability to integrate with Semidynamics' Vector Unit offers additional computing power, enhancing its performance in tasks requiring parallel data processing. This combination makes it suitable for dense computational tasks, such as those found in recommendation systems and key-value stores, providing a robust platform that scales efficiently across various industry needs.
The UCIe Chiplet Interconnect offered by InnoSilicon is a core solution for developers aiming to enhance system modularity and integration. This interconnect standard is crucial for designers focusing on enhancing chip-to-chip communication within complex multi-die architectures. It is particularly effective for next-gen applications in AI, cloud computing, and high-performance computing systems. Enabled by Innolink technology, InnoSilicon's UCIe Chiplet Interconnect facilitates high bandwidth and low latency interconnections. It supports various protocols and helps companies achieve a coherent design ecosystem, which allows for efficient scaling and upgrading of systems. This solution is an enabler for the transition towards chiplet-based design paradigms, offering improvements in power efficiency and overall performance. As chiplet architecture becomes more prevalent, the UCIe Chiplet Interconnect enables system designers to better manage power and performance trade-offs. By allowing different chiplets to communicate seamlessly, this interconnect solution supports the integration of heterogeneous processing elements, boosting the versatility and capability of emerging electronic systems.
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 Falcon Camera integrates FPGA technology to provide a comprehensive solution for high-speed image capturing and processing. Designed for industrial applications, it significantly reduces the complexity and cost associated with deploying machine vision solutions. The camera supports Ethernet communication, external trigger inputs, and operates on a Linux OS. It includes standard vision algorithm IP blocks, enhancing its suitability for agriculture, textile, pharmaceutical, and printing industries.
Falcon Compute is a powerful system designed for high-speed image processing tasks. Utilizing Xilinx's Zynq SoC, it functions as a Framegrabber+ suitable for demanding real-time applications. Notable for its use in industries such as agriculture, textiles, and pharmaceuticals, it supports a 4K/30 KHz line rate and operates efficiently over various camera link interfaces. Its image processing capabilities, enhanced by proprietary FPGA overlays, position it as a key component in systems requiring rapid image acquisition and processing.
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