Increasingly FPGAs are being used to perform signal-processing tasks, particularly in computationally demanding application areas such as video processing and communications. Their massive parallelism ...
Digital signal processing (DSP) occurs in communications, audio, and multimedia devices, imaging and medical equipment, smart antennas, automotive electronics, MP3 players, radar and sonar, and ...
Cofer and Harding discuss how to implement DSP functionality, covering when FPGAs are a good fit for DSP algorithm implementation and important design decisions and considerations. Each of these ...
Using a design flow put together by Mentor Graphics and Altera, designers can implement complex DSP algorithms in high-performance FPGAs directly from ANSI C++ code. The flow, which is based on Altera ...
Finally a Practical "Do and Don't" primer on architecting FPGA solutions for DSP design. With more do's than don’ts, the article is a down-to-basics look at how to avoid the pitfalls and realize ...
In considering the design option for DSP vs. FPGA it is helpful to compare both architectures in a FIR filter application, writes Reg Zatrepalek One of the most widely used digital signal-processing ...
Synplicity has introduced its Synplify DSP software, which allows designers to implement DSP designs in FPGAs. The software also allows designs specified at the algorithmic level in the Simulink ...
Why are so many designers turning to FPGA implementation for DSP designs? Considering the price/performance ratio for today's high-end FPGAs, not to mention the large numbers of DSP blocks and ...
Field Programmable Gate Arrays (FPGAs) have emerged as a versatile platform for implementing cryptographic algorithms, offering a balance between flexibility, performance and energy efficiency. Recent ...
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 ...