How to implement fixed-point DSP algorithms with high-performance FPGAs: A 30-minute MathWorks instructional video

2017年6月13日 | By News | Filed in: News.


MathWorks has just published a 30-minute video titled “FPGA for DSP applications: Fixed Point Made Easy.” The video targets users of the company’s MATLAB and Simulink software tools and covers fixed-point number systems, how these numbers are represented in MATLAB and in FPGAs, quantization and quantization challenges, sources of error and minimizing these errors, how to use MathWorks’ design tools to understand these concepts, implementation of fixed-point DSP algorithms on FPGAs using MathWorks’ tools, and the advantages of the Xilinx DSP48 block—which you’ll find in all Xilinx 28nm series 7, 20nm UltraScale, and 16nm UltraScale+ devices.


The video also shows the development of an FIR filter using MathWorks’ fixed-point tools as an example with some useful utilization feedback that helps you optimize your design. The video also briefly shows how you can use MathWorks’ HDL Coder tool to develop efficient, single-precision, floating-point DSP hardware for Xilinx FPGAs.






via Xcell Daily Blog articles

June 12, 2017 at 09:28PM


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