Tuesday, 14 March 2017

Expt - 1. Convolution & Correlation

The aim of the experiment was to study mathematical operations like Convolution and Correlation.
Convolution is the process of computing the output, , of a Linear Time Invariant system to a given arbitrary input  via its impulse response , , summarized in the notation of :
It is further classified into two - 
1. Linear Convolution 
    The length of the output signal is N where N=L+M-1 . It is used to determine response of a system when a non - periodic input is applied.

2. Circular Convolution
    The length of the output signal is N=max(L,M). It is used to determine response of a system when a periodic input is applied
(L - Length of input signal i.e x[n] , M - Length of impulse response i.e h[n] ).

Correlation is a process of determining similarity between two input signals.

13 comments:

  1. The blog was very informative

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  2. Convolution is used to determine the output of a system.

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  3. well written.correlation is used to find the degree of similarity between 2 signals

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  4. Convolution is used to find output in time domain. For evaluating output in frequency domain,transfer functions are used.

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  5. correlation is widely used for speech recognition, image processing.

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  6. It is also used in radar system, where transmitted signal is correlated with echo signal to locate position of target

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  7. The experiment was performed by executing C program.Linear convolution gives output of a system

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  8. Convolution is used in image processing

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  9. we use Linear convolution for non periodic sequence and Circular convolution for periodic sequence.

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  10. The output of the convolution has the length L+M-1 (where L = Length of x[n] , M = Length of h[n] ).

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  11. In circular convolution,Length 2 signals should be exactly same. To obtain this zero padding is done.

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  12. What are the applications of co-relation

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  13. Correlation application are speech processing and recognition, image processing

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