Tuesday, 14 March 2017

Fast Fourier Transform

In this lab session we performed FFT and IFFT. We performed 4-point and 8-point FFT. FFT algorithms are based on the fundamental principle of decomposing computation of the discrete fourier transform of a sequnce of length N into successively smaller discrete fourier transforms. As compared to DFT, FFT is much faster.

9 comments:

  1. Is there any way to get both output and input in proper order (not bit reversed order as in DITFFT and DIFFFT) ?
    What should be the modification?

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  2. Short explaination... Bt informative...

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  3. Short explaination... Bt informative...

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  4. FFT is computationally more efficient than DFT since input is decomposed and computations are done parallely

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  5. Replies
    1. Yes as the decomposition reduces calculation

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  6. FFT is the most widely used transform.

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  7. Trivial computations are avoided in this algorithm hence computations get reduced.

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