Procedure:-
1) Find the length of the first sequence x=x_length
2) Find the length of the first sequence h=h_length
3) Take the circular convolution order as N
4) If x_length < N, pad enough number of zeros to x, so that the number of samples in the modified x=N
5) If h_length < N ,pad enough number of zeros to h, so that the number of samples in the modified h=N
6) Take DFT for modified x=x(k)
7) Take DFT for modified h=H(k)
8) Compute Y(K)=X(K)*H(K)
9) Compute y(n)=IDFT(Y(k))
10) Verify if y=conv(x, ....etc

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Procedure:-
1. Enter the sequence x
2. Enter the sequence y
3. Find the lengths of x and y,ie;Nx and Ny respectively
4. Check Nx=Ny:proceed if equal
5. Initialize a loop variable number of output points
6. For each out sample , access the samples of y in the cyclic order
7. Find the sum of products of x and cyclically folded and shifted y
Description:-
Steps for Cyclic Convolution
Steps for cyclic convolution are the same as the usual convolution, except all index calculations are done mod N = on ....etc

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Procedure:-
1) Find the length of the first sequence x=x_length
2) Find the length of the second sequence h=h_length
3) Estimate the number of samples in the result of linear convolution of x &h=Y_length
4) If X_length 5) If h_length 6) Take DFT for modified x=x(k)
7) Take DFT for modified h=H(k)
8) ....etc

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Procedure:-
1. Read the input sequence, x and plot
2. Read the impulse response of the system, h and plot
3. Convolve the two results and plot them
Description:-
Linear Convolution involves the following operations.
1. Folding
2. Multiplication
3. Addition
4. Shifting
These operations can be represented by a Mathematical Expression as follows:
y =  xh

x= Input signal Samples
h= Impulse response co-efficient.
y= Convolution output.
n = No. of Input sample ....etc

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A ROBUST UART ARCHITECTURE BASED ON RECURSIVE RUNNING SUM FILTER FOR BETTER NOISE PERFORMANCE
Universal Asynchronous Receiver Transmitter (UART) based on Recursive Running Sum (RRS) filter. UART is used for asynchronous serial data communication between remote embedded systems. The robust UART core used in this project, utilizes recursive running sum filter to remove noisy samples. Input data signal is directly sampled with system clock and samples are accumulated over a window size . The window size is user programmable and it should be set ....etc

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PROGRAM TO FIND THE SUM OF ARRAY USING RECURSION ....etc

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/* prg to implement linear convolution */
#include
#include
int y;
main()
{ int m=6; /*Length of i/p samples sequence*/
int n=6; /*Length of impulse response Co-efficients */
int i=0,j;
int x={1,2,3,4,5,6,0,0,0,0,0,0}; /*Input Signal Samples*/
int h={1,2,3,4,5,6,0,0,0,0,0,0}; /*Impulse Response Co-efficients*/

for(i=0;i {
y=0;
for(j=0;j<=i;j++)
y+=x*h;
}
for(i=0;i printf(%d\n,y);
}

PROCEDURE:
 Open Code Compos ....etc

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import java.io.*;
class Arraysum
{
int temp;
int sum(int a,int n)
{
if(n==1)
return a;
else
{
temp =sum(a,n-1);
temp=temp+a;
return temp;
}
}
}
class Newarray
{
public static void main(String args)throws IOException
{
DataInputStream dis=new DataInputStream(System.in);
System.out.println(Enter limit);
int n=Integer.parseInt(dis.readLine());
int a=new int;
System.out.println(Enter the array);


fo ....etc

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#include
#include
int m,n,x,h,y,i,j,temp,k,x2,a;
void main()
{
printf( enter the length of the first sequence\n);
scanf(%d,&m);
printf( enter the length of the second sequence\n);
scanf(%d,&n);
printf( enter the first sequence\n);
for(i=0;i scanf(%d,&x);
printf( enter the second sequence\n);
for(j=0;j scanf(%d,&h);
if(m-n!=0) /*If length of both sequences are not equal*/
{
if(m>n) /* Pad the smalle ....etc

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plz guys, anyone having uart ppt......forward that meatirial ....etc

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