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fft processor  (Xilinx Inc)

 
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    Structured Review

    Xilinx Inc fft processor
    Hardware architecture of the proposed <t>FFT</t> <t>processor.</t>
    Fft Processor, supplied by Xilinx Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fft+processor/fft+block/pmc08512539-249-24-23
    Average 90 stars, based on 1 article reviews
    fft processor - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "FPGA Implementation of an Efficient FFT Processor for FMCW Radar Signal Processing"

    Article Title: FPGA Implementation of an Efficient FFT Processor for FMCW Radar Signal Processing

    Journal: Sensors (Basel, Switzerland)

    doi: 10.3390/s21196443

    Hardware architecture of the proposed FFT processor.
    Figure Legend Snippet: Hardware architecture of the proposed FFT processor.

    Techniques Used:

    FPGA platform configuration for the verification of the proposed FFT processor.
    Figure Legend Snippet: FPGA platform configuration for the verification of the proposed FFT processor.

    Techniques Used:

    Comparison of the proposed FFT processor with those from previous studies.
    Figure Legend Snippet: Comparison of the proposed FFT processor with those from previous studies.

    Techniques Used:

    Related Articles

    Blocking Assay:

    Article Title: FPGA Implementation of an Efficient FFT Processor for FMCW Radar Signal Processing
    Article Snippet: The Xilinx FFT processor and the BFU of the proposed FFT processor used similar hardware resources.



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    Image Search Results


    Hardware architecture of the proposed FFT processor.

    Journal: Sensors (Basel, Switzerland)

    Article Title: FPGA Implementation of an Efficient FFT Processor for FMCW Radar Signal Processing

    doi: 10.3390/s21196443

    Figure Lengend Snippet: Hardware architecture of the proposed FFT processor.

    Article Snippet: Comparing the execution time of windowing, 2D FFT, magnitude/phase calculation, and accumulation, the proposed processor significantly shortened it 7.32 times compared to the Xilinx FFT processor.

    Techniques:

    FPGA platform configuration for the verification of the proposed FFT processor.

    Journal: Sensors (Basel, Switzerland)

    Article Title: FPGA Implementation of an Efficient FFT Processor for FMCW Radar Signal Processing

    doi: 10.3390/s21196443

    Figure Lengend Snippet: FPGA platform configuration for the verification of the proposed FFT processor.

    Article Snippet: Comparing the execution time of windowing, 2D FFT, magnitude/phase calculation, and accumulation, the proposed processor significantly shortened it 7.32 times compared to the Xilinx FFT processor.

    Techniques:

    Comparison of the proposed FFT processor with those from previous studies.

    Journal: Sensors (Basel, Switzerland)

    Article Title: FPGA Implementation of an Efficient FFT Processor for FMCW Radar Signal Processing

    doi: 10.3390/s21196443

    Figure Lengend Snippet: Comparison of the proposed FFT processor with those from previous studies.

    Article Snippet: Comparing the execution time of windowing, 2D FFT, magnitude/phase calculation, and accumulation, the proposed processor significantly shortened it 7.32 times compared to the Xilinx FFT processor.

    Techniques:

    Resource comparison between 16,384-point fixed-point FFT processor and single precision floating-point FFT processor.

    Journal: Sensors (Basel, Switzerland)

    Article Title: A Spaceborne Synthetic Aperture Radar Partial Fixed-Point Imaging System Using a Field- Programmable Gate Array—Application-Specific Integrated Circuit Hybrid Heterogeneous Parallel Acceleration Technique

    doi: 10.3390/s17071493

    Figure Lengend Snippet: Resource comparison between 16,384-point fixed-point FFT processor and single precision floating-point FFT processor.

    Article Snippet: The customized fixed-point FFT is implemented using the 130 nm complementary metal oxide semiconductor (CMOS) technology as a co-processor of the Xilinx xc6vlx760t FPGA.

    Techniques: Comparison, Blocking Assay