基于FPGA 用Verilog实现的1024点FFT源码程序

上传者: cwing | 上传时间: 2019-12-21 19:36:57 | 文件大小: 973KB | 文件类型: rar
基于FPGA 用Verilog实现的1024点FFT源码程序,本程序完整描述的FFT的算法,是编写FFT程序的好助手!助你快速掌握FFT!

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</span>","children":null,"spread":false}],"spread":true},{"title":"source","children":[{"title":"combine_fft.v <span style='color:#111;'> 6.92KB </span>","children":null,"spread":false},{"title":"fft_small_1n64cos.hex <span style='color:#111;'> 268B </span>","children":null,"spread":false},{"title":"fft_small_1n64sin.hex <span style='color:#111;'> 268B </span>","children":null,"spread":false},{"title":"fft_small_bb.v <span style='color:#111;'> 2.27KB </span>","children":null,"spread":false},{"title":"fft_small_model.m <span style='color:#111;'> 3.14KB </span>","children":null,"spread":false},{"title":"fft_32K_wave.do <span style='color:#111;'> 14.01KB </span>","children":null,"spread":false},{"title":"scale_fft_res.v <span style='color:#111;'> 2.97KB </span>","children":null,"spread":false},{"title":"fft_small_tb.vhd <span style='color:#111;'> 24.50KB </span>","children":null,"spread":false},{"title":"fft_small_3n64cos.hex <span style='color:#111;'> 268B </span>","children":null,"spread":false},{"title":"fft_small_3n16384sin.hex <span style='color:#111;'> 64.01KB </span>","children":null,"spread":false},{"title":"fft_small_1n16384cos.hex <span style='color:#111;'> 64.01KB </span>","children":null,"spread":false},{"title":"fft_small_1n16384sin.hex <span style='color:#111;'> 64.01KB </span>","children":null,"spread":false},{"title":"real_output_ver.txt <span style='color:#111;'> 912.30KB </span>","children":null,"spread":false},{"title":"fft_small_2n64sin.hex <span style='color:#111;'> 268B </span>","children":null,"spread":false},{"title":"fft_small_tb.m <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false},{"title":"real_input.txt <span style='color:#111;'> 394.47KB </span>","children":null,"spread":false},{"title":"fft_32K_streaming_vo_msim.tcl <span style='color:#111;'> 1.35KB </span>","children":null,"spread":false},{"title":"fft_small.vo <span style='color:#111;'> 1.04MB </span>","children":null,"spread":false},{"title":"mul_fft_bot_tf.v <span style='color:#111;'> 4.02KB </span>","children":null,"spread":false},{"title":"fft_small_3n64sin.hex <span style='color:#111;'> 268B </span>","children":null,"spread":false},{"title":"fft_small_inst.v <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false},{"title":"fft_32K_sinhex.hex <span style='color:#111;'> 136.01KB </span>","children":null,"spread":false},{"title":"exponent_output_ver.txt <span style='color:#111;'> 912.30KB </span>","children":null,"spread":false},{"title":"parse_fft_input.v <span style='color:#111;'> 5.69KB </span>","children":null,"spread":false},{"title":"fft_32K_streaming_tb.v <span style='color:#111;'> 13.73KB </span>","children":null,"spread":false},{"title":"fft_small_2n64cos.hex <span style='color:#111;'> 268B </span>","children":null,"spread":false},{"title":"mram_buf.v <span style='color:#111;'> 8.45KB </span>","children":null,"spread":false},{"title":"fft_small_3n16384cos.hex <span style='color:#111;'> 64.01KB </span>","children":null,"spread":false},{"title":"fft_small_2n16384cos.hex <span style='color:#111;'> 64.01KB </span>","children":null,"spread":false},{"title":"twiddle_rom_add.v <span style='color:#111;'> 5.84KB </span>","children":null,"spread":false},{"title":"fft_small_2n16384sin.hex <span style='color:#111;'> 64.01KB </span>","children":null,"spread":false},{"title":"fft_32K_coshex.hex <span style='color:#111;'> 136.01KB </span>","children":null,"spread":false},{"title":"fft_32K.cr.mti <span style='color:#111;'> 2B </span>","children":null,"spread":false},{"title":"comb_final_fft_res.v <span style='color:#111;'> 8.73KB </span>","children":null,"spread":false},{"title":"imag_output_ver.txt <span style='color:#111;'> 912.30KB </span>","children":null,"spread":false},{"title":"fft_32K.v <span style='color:#111;'> 5.56KB </span>","children":null,"spread":false},{"title":"fft_small_tb.v <span style='color:#111;'> 13.77KB </span>","children":null,"spread":false},{"title":"imag_input.txt <span style='color:#111;'> 394.25KB </span>","children":null,"spread":false},{"title":"fft_small.v <span style='color:#111;'> 12.07KB </span>","children":null,"spread":false},{"title":"mult_add.v <span style='color:#111;'> 15.70KB </span>","children":null,"spread":false},{"title":"clk_pll.v <span style='color:#111;'> 9.66KB </span>","children":null,"spread":false}],"spread":false},{"title":"readme.txt <span style='color:#111;'> 6.76KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true}],"spread":true}]

评论信息

  • m0_49304754 :
    32k的FFT核
    2021-05-19
  • FPGA辰 :
    32k的FFT核
    2021-05-19
  • zjy395172298 :
    很好的资料,值得参考
    2018-04-26
  • zjy395172298 :
    很好的资料,值得参考
    2018-04-26
  • meic266 :
    很好的资料。谢谢楼主分享。
    2018-04-18
  • meic266 :
    很好的资料。谢谢楼主分享。
    2018-04-18
  • suyongpan18 :
    下载了编译不能通过,发现是用的IP,这样移植不同厂商的FPGA不方便。
    2015-04-29
  • suyongpan18 :
    下载了编译不能通过,发现是用的IP,这样移植不同厂商的FPGA不方便。
    2015-04-29
  • yfwoqqwei :
    可以作为参考,感谢分享
    2015-04-06
  • yfwyfwyfw :
    可以作为参考,感谢分享
    2015-04-06

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