Hello dear
Nerolac please send me your shade card so I can choose color
For my house & rooms with contrast
Thanks..............etc

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write a c program for calculating linear convolution using circular convolution
..............etc

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flow chart for linear convolution using vedic multiplier..............etc

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i need verilog code for linear convolution.please help...............etc

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#include
#include
short x;
void dft(short *x, short k, int *out); //function prototype
#define N 8 //number of data values
float pi = 3.1416;
int sumRe,sumIm;
short x = {1,2,3,4,5,6,7,8}; //1-cycle cosine
int out = {0,0};
int real,imag,k=0; //init Re and Im results
void dft(short *x, short k, int *out) //DFT function
{
int sumRe = 0, sumIm = 0; //init real/imag components
float cs = 0, sn = 0; //init cosine/sine components
int i = 0;
for (i = 0; i < N; i++) //for N-point DFT
{
cs = cos(2*..............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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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) 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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plz tel me abt linear convolution which i want 2 knw more abt dis topic which is vry much useful 4 me in my seminars
plz tel me abt linear convolution which i want 2 knw more abt dis topic which is vry much useful 4 me in my seminars
..............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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