The Fast Fourier Transform(FFT) is used to reduce calculations and thus the process becomes fast. In this method the input sequence is broken down into two equal parts. This breaking down of the signal was continued till no further decomposition was possible. Radix-2 algorithm is used to perform the experiment. The counter was then added in the code to check the total number of calculations. Thus we conclude that FFT is computationally fast as the number of calculations are reduced.
Radix 2 fft is computationally faster than radix 3
ReplyDeleteFFT is faster than DFT
ReplyDeletethe most commonly used FFT is the Cooley–Tukey algorithm.
ReplyDeleteFast Fourier Transform is more effective in a practical approach when code is executed and implemented.
ReplyDeletethe most commonly used FFT is the Cooley–Tukey algorithm.
ReplyDeleteBecause of parallel processing FFT is more faster than DFT
ReplyDelete