Monday, 13 March 2017

Lab 3 - Fast Fourier Transform

 Discrete time Fourier transform is computationally slow hence to increase the performance of the processors Fast Fourier Transform​ method is used gives the output with lesser number of calculations.The output was bit reversal of respective input signal.
       In fft we divided​ the signal in N/2 equal parts even and odd. The even portion of the signal is added by the odd part which is multiplied by twiddle factor.Hence computations are reduced as calculation were done for N/2 length of signal.
  The number of real addition,real multiplication, complex addition and complex multiplication was also calculated from the program using the counters.

8 comments:

  1. FFT is computationally faster than DFT.

    ReplyDelete
  2. Fft makes use of parallel processing.

    ReplyDelete
  3. Fft cannot be used for real time processing

    ReplyDelete
  4. Fft is not suitable for real time signal

    ReplyDelete
  5. FFT is not suitable for real time processing without memory

    ReplyDelete
  6. This comment has been removed by the author.

    ReplyDelete