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.
Ubi.cloud is a breakthrough geolocation solution designed to offload GPS and Wi-Fi computing tasks to the cloud effectively. This innovation results in significantly smaller, more efficient geolocation devices, ideal for IoT tracking applications. By reducing the size and energy consumption of the hardware, Ubi.cloud provides organizations with the ability to deploy diverse tracking solutions across their operations. It supports global GPS positioning for outdoor use and Wi-Fi for indoor urban tracking, making it versatile for various needs. Designed to minimize the inherent power and size issues of traditional GNSS modules, Ubi.cloud leverages advanced embedded technologies like UbiGNSS and UbiWIFI. These allow for remarkable on-time performance improvements compared to traditional setups, drastically cutting down receiver chipset consumption and boosting battery life. With Ubi.cloud, businesses can integrate cutting-edge geolocation capabilities into their devices using a pay-as-you-go model or life-time licenses, ensuring flexibility in application. This makes it ideal for asset tracking of unpowered devices, fitting into existing systems seamlessly or being part of new innovative designs.
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.
CableExpert is dedicated to the high-speed modeling and simulation of cables, enabling the precise analysis of transmission properties such as insertion and return loss. Utilizing a suite of templates for different cable types and cutting-edge solvers for efficient computation, it supports the optimization of parameters like cable length and radius, catering specifically to protocol compliance across Ethernet and automotive communications.
The Raptor N3000 AI Accelerator represents a giant leap in accelerating AI workloads for data centers. Specifically designed for recommendation systems, the Raptor N3000 can handle heavy-duty machine learning tasks with remarkable efficiency. Touted for its ability to manage high throughput with low energy consumption, this accelerator can achieve significant levels of inference per Joule, a critical metric in evaluating energy efficiency in AI. Boasting a novel design, the Raptor N3000 significantly cuts down on power consumption while maintaining exceptional performance. It comes equipped with integrated software support to ensure compatibility with popular AI frameworks, promoting seamless deployments across different environments. Whether you are dealing with vast datasets or looking to streamline processes, the Raptor N3000 is engineered to deliver maximum results. The architecture of the Raptor N3000 is finely tuned to optimize INT8 inference precision, achieving near-identical results to FP32 without the heavy computational demand. As AI calls for more energy-efficient solutions, the Raptor N3000 sets a benchmark for reducing operational costs without sacrificing speed or accuracy.
The Evo Gen 5 PCIe Card is crafted for the next generation of AI inferencing, focusing on advancing the capabilities of deep learning models. Designed to provide high performance inferences, this PCIe card leverages Gen 5 technology to deliver faster data throughput and improved energy efficiency. The Evo Gen 5's capabilities are well-suited for demanding computational tasks found in modern AI applications, offering an elevated level of integration and performance. Engineered to optimize AI frameworks, the Evo Gen 5 PCIe Card ensures a seamless blend with existing hardware setups, reducing downtime and promoting operational continuity. Its robust architecture allows it to handle the intricate requirements of large-scale neural network models with ease, making it an indispensable tool for sectors relying heavily on AI inference. With its state-of-the-art design, the Evo Gen 5 PCIe Card supports diverse workloads, ensuring high adaptability across various AI landscapes. Businesses focused on AI innovation will find this card instrumental in maintaining a competitive edge, thanks to its blend of speed, reliability, and efficiency.
Designed to excel in AI-powered recommendation systems, the RecAccel N3000 PCIe Card offers significant advancements in processing speed and reliability. By focusing on enhancing recommendation accuracy and throughput, this PCIe card aligns itself as a valuable asset for data-intensive environments. Its design accommodates the high-speed demands necessary for cutting-edge recommendation models, ensuring efficient data handling and real-time application performance. The RecAccel N3000 PCIe Card is anchored by a robust hardware configuration that facilitates low-latency data processing, granting organizations the ability to harness the full potential of AI-driven insights. Adaptable and versatile, it enables seamless integration with various AI frameworks, supporting a broad spectrum of applications across industries. Through its focus on minimizing energy consumption while maximizing computational output, the RecAccel N3000 PCIe Card stands as a leader in power efficiency. This makes it a wise investment for enterprises looking to enhance their recommendation capabilities without incurring excessive energy costs.
The RecAccel AI Platform is an all-encompassing solution engineered to boost computing accuracy in AI applications. This platform integrates advanced algorithms with high-performance AI engines, ensuring precision and efficiency in executing complex tasks. By reducing computational errors and enhancing inference precision, the RecAccel AI Platform becomes essential for businesses requiring reliable AI outcomes. This platform distinguishes itself with its adaptability, supporting a variety of industry-specific AI models, and ensuring that businesses can customize its use to meet their individual needs. From powering large-scale machine learning tasks to facilitating real-time decision-making processes, the RecAccel AI Platform enables seamless transitions across diverse operational environments. Deploying the RecAccel AI Platform guarantees substantial gains in productivity, thanks to its innovative architecture and integration with cutting-edge AI technologies. Companies can rely on its comprehensive framework to maintain operational excellence, delivering on the promise of AI-enhanced decision-making with consistent accuracy.
The RecAccel N3000 AI Inference Chip is specifically engineered to transform AI-based recommendation systems within data centers. This innovative chip excels in efficiently processing vast amounts of data, leveraging advanced algorithms to perform real-time inferences with exceptional accuracy and speed. Among its standout features, the RecAccel N3000 delivers some of the market's most efficient power-performance metrics, ensuring that AI applications not only meet but exceed energy efficiency expectations. It's particularly noteworthy for its ability to optimize recommendation model execution through precise power management strategies. This enables it to run simultaneous workloads seamlessly, enhancing resource allocation efficiency without compromising performance. Designed to fully integrate with existing data center infrastructures, the RecAccel N3000 offers hassle-free deployment while maintaining high levels of accuracy in AI-driven insights. The RecAccel N3000 has been shown to achieve world-leading efficiency per Joule, making it a top choice for businesses looking to improve their data operations while minimizing costs. By adopting this chip, organizations can expect to see improved response times and an overall increase in operational productivity.
The Viper Series Gen AI PCIe Card pushes the boundaries of AI processing, targeting industries in need of advanced inferencing capabilities. Engineered to optimize performance while minimizing power use, the Viper Series effectively advances AI model deployment, ensuring high-speed inferencing with reduced latency. Designed for effortless integration, the Viper Series PCIe Card supports a broad range of AI frameworks, allowing for flexibility in application and deployment. It is particularly suited for high-efficiency environments where the seamless execution of AI tasks is paramount, making it an exemplary choice for companies aiming to enhance their computational capabilities. With a focus on scalability, the Viper Series offers robust solutions tailored to meet the growing demands of AI-powered operations, providing a solid foundation for innovation and development. Businesses that adopt the Viper Series Gen AI PCIe Card can expect substantial improvements in application performance and efficiency, marking it as a vital component in modern AI landscapes.
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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