Saturday, 23 April 2016

Convolution and Correlation Algorithm

In the circular convolution aliasing takes place where the last few values get aliased with ones in the start. In circular convolution the length of the output convoluted signal is , N= max(L,M)
where, L= length of first input signal
M= Length of second input signal.
for linear convolution, N=L+M-1

https://drive.google.com/drive/folders/0BxILgHTXcwaNYzBfNmlpS2VuWUE

5 comments:

  1. Correlation gives degree of closeness of two signals.

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  2. Also we observed that circular convolution gave aliased output

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    Replies
    1. yeah..I have mentioned this in the post!

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    2. This comment has been removed by the author.

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  3. This experiment refreshed concepts studied in Signals & Systems, as these concepts were introduced there. But we practically implemented them here for the first time.

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