Monday, 13 March 2017

Fast Fourier Transform

DITFFT was studied for two cases – 4-point signal and 8-point signal. FFT algorithm was compared to DFT by counting the computations required in both cases. Computations were found to reduce drastically for greater number of points in the signal. The process of FFT is a parallel computing one, mathematically, and hence, it is found to be fast. Also, the concept of bit reversal sequences at the input and output was observed.

5 comments:

  1. Trivial calculations are avoided in Fast fourier transform algorithms hence the calculations are reduced.That is why it is fast.

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  2. Initially, DFT was used for signal processing applications. But FFT involves less calculations. Hence, modern applications use FFT.

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