FFT using C and VHDL. can compute upto 1K, 2K and 4K in radix 2.

cf_fft\cf_fft_1024_16.c
......\cf_fft_1024_16.h
......\cf_fft_1024_16.py
......\cf_fft_1024_16.v
......\cf_fft_1024_16.vhd
......\cf_fft_1024_18.c
......\cf_fft_1024_18.h
......\cf_fft_1024_18.py
......\cf_fft_1024_18.v
......\cf_fft_1024_18.vhd
......\cf_fft_1024_8.c
......\cf_fft_1024_8.h
......\cf_fft_1024_8.py
......\cf_fft_1024_8.v
......\cf_fft_1024_8.vhd
......\cf_fft_2048_16.c
......\cf_fft_2048_16.h
......\cf_fft_2048_16.py
......\cf_fft_2048_16.v
......\cf_fft_2048_16.vhd
......\cf_fft_2048_18.c
......\cf_fft_2048_18.h
......\cf_fft_2048_18.py
......\cf_fft_2048_18.v
......\cf_fft_2048_18.vhd
......\cf_fft_2048_8.c
......\cf_fft_2048_8.h
......\cf_fft_2048_8.py
......\cf_fft_2048_8.v
......\cf_fft_2048_8.vhd
......\cf_fft_256_16.c
......\cf_fft_256_16.h
......\cf_fft_256_16.py
......\cf_fft_256_16.v
......\cf_fft_256_16.vhd
......\cf_fft_256_18.c
......\cf_fft_256_18.h
......\cf_fft_256_18.py
......\cf_fft_256_18.v
......\cf_fft_256_18.vhd
......\cf_fft_256_8.c
......\cf_fft_256_8.h
......\cf_fft_256_8.py
......\cf_fft_256_8.v
......\cf_fft_256_8.vhd
......\cf_fft_4096_16.c
......\cf_fft_4096_16.h
......\cf_fft_4096_16.py
......\cf_fft_4096_16.v
......\cf_fft_4096_16.vhd
......\cf_fft_4096_18.c
......\cf_fft_4096_18.h
......\cf_fft_4096_18.py
......\cf_fft_4096_18.v
......\cf_fft_4096_18.vhd
......\cf_fft_4096_8.c
......\cf_fft_4096_8.h
......\cf_fft_4096_8.py
......\cf_fft_4096_8.v
......\cf_fft_4096_8.vhd
......\cf_fft_512_16.c
......\cf_fft_512_16.h
......\cf_fft_512_16.py
......\cf_fft_512_16.v
......\cf_fft_512_16.vhd
......\cf_fft_512_18.c
......\cf_fft_512_18.h
......\cf_fft_512_18.py
......\cf_fft_512_18.v
......\cf_fft_512_18.vhd
......\cf_fft_512_8.c
......\cf_fft_512_8.h
......\cf_fft_512_8.py
......\cf_fft_512_8.v
......\cf_fft_512_8.vhd
......\transcript

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