**Correlation between Two Finite Signals**

**Algorithm 1:**

Cross correlation is defined as, if x(n) and h(n) are finite signals then cross correlation

In cross correlation folding of h(n) doesn’t occur.

- Input the first sequence.
- Input the second sequence

3. Find the cross correlation of these sequences using the MATLAB function "xcorr(x,h)" where x and h are the sequences to be correlated.

- Plot the result

Program

% Program to find correlation of two signals

** x=input ('Enter the first sequences ');**

**h=input(' Enter the second sequences ');**

**c= xcorr(x,h);**

**t=0 : (length(x) +length(h)-2);**

**stem(t,c);**

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**Algorithm 2:**

- Define x(n)
- Define y(n)
- Rotate (that is reverse) the signal h(n) using the MATLAB function
where h is to be flipped (i.e, rotated).*fliplr(h)* - Find the convolution between x(n) and flipped version of h(n).
- Plot the resultant signal

**Program**

% Program to find correlation of two signals

** x=input ('Enter the first sequences x(n) : ');**

**h=input(' Enter the second sequences h(n) : ');**

**n1 =length(x)-1;**

**n2=length(h)-1;**

**r=conv(x,fliplr(h));**

**t=(-n1):n2;**

**stem(t,r);**

**xlabel(' lag index ');**

**ylabel(' Amplitude ');**

**v=axis;**

**axis([-n1 n2 v(3:end)]);**

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