Efficient Fixed-Point Implementation of a Filter on an FPGA
3,216 views · Published 20 August 2018 · 2:12 · Indexed 12 November 2026
Channel: MATLAB · 2018 · Science & Technology
The data type optimization feature in Fixed-Point Designer™ enables you to automatically iterate to find optimal data types for efficient implementation on an FPGA while meeting constraints on the numerical behavior of your system. Starting from a 32-bit fixed-point implementation of a CIC filter, see how data type optimization lets you convert to a more efficient implementation. Using no more than 12 bits, you have a stable CIC filter with the quantization noise within budget. The resulting implementation on a Xilinx® Virtex® 7 FPGA uses significantly less resources particularly the LUT and logic slices. Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
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