tag: DSPs

Radar SLAM Application on Vision DSPs based on Novel IO-ICP
By Cadence - 01 Apr, 2026 - Comments: 0

With the increasing use of vision, radar and LiDAR in autonomous vehicles, robots, drones, and augmented reality, there is a greater demand for the capability and performance of multimodal sensing applications. This demand requires sophisticated multi-sensing algorithms and powerful digital signal processors (DSPs) to run them. Simultaneous localization and mapping (SLAM) has revolutionized ... » read more

AI Starting To Simplify Design Of Programmable Logic
By Liz Allan - 26 Feb, 2026 - Comments: 0

Key Takeaways AI/ML and agentic tools are getting better at helping design and compile FPGAs, but downstream programming is slower to benefit. FPGAs historically have been designed using Verilog or VHDL, but higher-level languages could push more intelligence into compilers. ML tools can also help with mixed-signal co-design by automatically tuning DSP algorithms based on analog simu... » read more

New Performance Requirements For Audio
By Ed Sperling - 23 Feb, 2026 - Comments: 0

Demand for higher performance in audio is rising as human-machine interactions increase on the edge. That means more processing elements, and more challenges in keeping data consistent across those processors. Prakash Madhvapathy, director of product marketing and product management at Cadence, talks about the advantages of coherent designs, how that impacts security, and how DSPs are evolving ... » read more

Voice is the New UI
By Cadence - 28 Jan, 2026 - Comments: 0

Recent years have seen a paradigm shift in the user interface (UI) of our computers and client devices, and this is gaining momentum. Advancements in large language models (LLM), small language models (SLM), energy-efficient systems on chip (SoC), and on-device AI processing are making voice input the new “keyboard”. Read more here.   Fig.1: Voice Processing Pipeline On-De... » read more

ONNX And Python To C++: State-Of-The-Art Graph Compilation
By Quadric.io - 15 Oct, 2025 - Comments: 0

Nigel Drego, Co-founder and Chief Technology Officer at Quadric, presented the “ONNX and Python to C++: State-of-the-art Graph Compilation” tutorial at this year's Embedded Vision Summit. Quadric’s Chimera general-purpose neural processor executes complete AI/ML graphs—all layers, including pre- and post-processing functions traditionally run on separate DSP processors. Read more here. » read more

The Rise Of AI Co-Processors
By Ed Sperling - 29 Sep, 2025 - Comments: 0

Figuring out the best kinds of processors to use for different AI workloads is a challenge. AI algorithms are undergoing rapid and frequent changes, and the workloads tied to them can vary by data type, by user, and sometimes because of software/firmware updates. On top of that, AI computations tend to require much higher utilization rates than traditional computing, and that will only become m... » read more

Time-of-Flight Decoding Enhanced By Tensilica Vision DSPs
By Cadence - 13 Aug, 2025 - Comments: 0

Time-of-Flight (ToF) technology has become a vital tool for precise depth perception in computer vision, driving innovation across diverse applications such as autonomous systems and medical equipment. Efficient processing of ToF data is paramount for realizing this technology’s full potential. This document highlights how Cadence's Tensilica Vision DSP architecture is significantly adv... » read more

Med Tech Morphs Into Consumer Wearables
By Liz Allan - 06 Feb, 2025 - Comments: 0

Doctors have been using advanced technology for years, but the growing trend is for consumers to use devices at home and have direct access to their data. Watches and rings that were once primarily used for counting steps or registering sleep patterns can now read blood pressure, heart rate, blood oxygen, body temperature, and other early signs of illness. Meanwhile, various patches are under d... » read more

Simulating Multiple DSPs As Multiple x86 Processes
By Nayan Gaywala - 14 Nov, 2024 - Comments: 0

An increasing number of embedded designs are multi-core systems. At the pre-silicon stage, customers use a simulation platform for architectural exploration and software development. Architects want to quantify the impact of the number of cores, local memory size, system memory latency, and interconnect bandwidth. Software teams wish to have a practical development platform that is not excrucia... » read more

Sensor Fusion Challenges In Automotive
By Ed Sperling - 02 May, 2024 - Comments: 0

The number of sensors in automobiles is growing rapidly alongside new safety features and increasing levels of autonomy. The challenge is integrating them in a way that makes sense, because these sensors are optimized for different types of data, sometimes with different resolution requirements even for the same type of data, and frequently with very different latency, power consumption, and re... » read more

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