Monday, 13 March 2017

EXP 3: Fast Fourier Transform

         As DFT method is computationally slow ,we use Fast Fourier Transform (FFT). Due to less number of additions and multiplications required in FFT ,its implementation is fast. In this experiment , we studied FFT for 4 point  and 8 point input signals. We used Radix-2 algorithm to perform this experiment.

5 comments:

  1. Radix 2 algorithms give great results

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  2. FFT uses parallel processing.

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  3. Fft cannot be used for real time processing

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  4. FFT 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.

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  5. Radix two is preferred over radix three and other because it has less computations

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