In this experiment the FFT algorithm was applied to a 4 point and an 8 point sequence. The code was modified to calculate the number of real multiplications and real additions.
Fast Fourier Transform is an algorithm used to compute Discrete Fourier Transform of a sequence. An FFT rapidly computes transformations by factorising the DFT matrix into a product of a sparse factors. As a result the complexity of the computation is reduced.
Fast Fourier Transform is an algorithm used to compute Discrete Fourier Transform of a sequence. An FFT rapidly computes transformations by factorising the DFT matrix into a product of a sparse factors. As a result the complexity of the computation is reduced.
FFT uses Parallel processing
ReplyDeleteFast Fourier transform is computationally more efficient as compared to that of DFT
ReplyDeleteFFT reduces the calculations hence increases the speed
ReplyDeleteFFT cannot be used for real time application dude to parallel processing
ReplyDeleteNumber of computations in FFT is less than that of DFT. This makes FFT computationally faster.
ReplyDeleteThis method is preferred over DFT.
ReplyDeleteFFT can solved using signal flow graphs
ReplyDeleteFFT is faster than DFT
ReplyDeletethe signal is divided into 2 parts, so the computation is carried out only for N/2 signal values
ReplyDelete