Friday, 22 April 2016

Fast Fourier Transform

Number of arithmetic calculations in Fast Fourier Transform is significantly less than that in Discrete Fourier Transform. Hence, Fast Fourier Transform is inevitably fasyer than Fast Fourier Transform.

 https://drive.google.com/drive/folders/0BwvLoQVdPTK3Z1E4STd5MFJNUk0
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3 comments:

  1. Sahil Gujrathi25 April 2016 at 13:10

    FFT's importance derives from the fact that in signal processing and image processing it has made working in frequency domain equally computationally feasible as working in temporal or spatial domain.

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  2. Unknown25 April 2016 at 14:32

    Number of computations required are less, thus speed increases.

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  3. Unknown25 April 2016 at 23:55

    N pt DFT is decomposed into two N/2 pt DFTs, N/2 pt DFT is decomposed into N/4 pt DFTs and so on. Decomposition reduces calculations.

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