Friday, 22 April 2016

Fast Fourier Transform

In the fast fourier transform, we used the same signal as that of the DFT experiment so as to compare these two algorithms. We concluded that FFT is better and fast than DFT because calculations are easy and in FFT calculations are performed parallely so speed is more and number of complex addition and multiplication is also less compared to DFT.
Link:-
FFT1
FFT2
IFFT1
IFFT2

6 comments:

  1. Number of computations required are less, thus speed increases.

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  2. It seems FFT is very much preferable over DFT.

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  3. FFT requires (NlogN/2) - to the base 2 - number of complex multiplications and NlogN - to the base 2 - number of complex additions

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  4. FFT uses parallel processing.

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  5. We should opt for DSP processor as by using intel processor for fft computation parallel processing is difficult to achieve by c compiler.

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