Monday, 13 March 2017

Discrete Convolution and Correlation

Linear convolution ,Circular convolution and Linear using circular convolution were performed using mathematical formula.Length of the output signal in L.C. is N=L+M-1.In C.C, N is max(L,M) whereas in L.C. using C.C., N >=L+M-1.Circular convolution gives aliased output that means depending upon the length of x[n] and h[n], last few values of L.C. output are getting overlapped with first values of the same result and addition gives circular convolution output.Auto correlation output is even signal and the middle value is maximum.The auto correlation of delayed signal is same as auto correlation of original signals. Coefficient of correlation is maximum (i.e. 1) when two signals are exactly same.

12 comments:

  1. Good content ..easy to understand.

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  2. Convolution and correlation can be used in real time applications

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    Replies
    1. Convolution can be used in finding the output of the system and correlation to find degree of similarity of two signals

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  3. Convolution is used in several image processing techniques like smearing or smoothing of an image.Correlation is used for comparison of two signals and the correlation coefficients determine the degreee of similarity.

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    1. Thank you for the valuable information

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  4. Correlation is widely used in speech recognition system

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    1. Yes it correlates the input signal with stored one to take further action

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