FFT method is different than DFT method. In FFT method the input signal is broken into parts according to the Radix-2 algorithm. The input sequence order and the output sequence order in Radix-2 algorithm is in bit reverse manner.
By performing the experiments, we counted the number of steps that were required to perform the FFT. The result was that the steps required for FFT were much less than that of DFT.
Thus, FFT is computationally a fast method.
By performing the experiments, we counted the number of steps that were required to perform the FFT. The result was that the steps required for FFT were much less than that of DFT.
Thus, FFT is computationally a fast method.
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ReplyDeleteFFT is faster than DFT
ReplyDeleteFFT is computationally faster than DFT
ReplyDeleteReduces the calculations
ReplyDeleteFFT is faster
ReplyDeleteBit reversal is inolved in FFT
ReplyDeleteHow is FFT faster than DFT?
ReplyDeleteFFT of radix 2 divides the input into two N/2 pt DFT's. Similarly N/2 is divided into two N/4 sequences, decreasing the computations required, making it faster.
ReplyDeleteBecause of parallel processing FFT is more faster than DFT
ReplyDeleteNumber of computations in FFT is less than that of DFT. This makes FFT computationally faster.
ReplyDeletethe signal is divided into 2 parts, so the computation is carried out only for N/2 signal values
ReplyDelete