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Title: LINEAR CONVOLUTION OF TWO FINITE LENGTH SEQUENCES USING DFT AND IDFT
Page Link: LINEAR CONVOLUTION OF TWO FINITE LENGTH SEQUENCES USING DFT AND IDFT -
Posted By: seminar class
Created at: Friday 06th of May 2011 06:10:48 PM
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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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Title: linear convolution of two sequences
Page Link: linear convolution of two sequences -
Posted By:
Created at: Saturday 29th of June 2013 08:33:05 PM
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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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Title: CIRCULAR CONVOLUTION
Page Link: CIRCULAR CONVOLUTION -
Posted By: seminar class
Created at: Friday 06th of May 2011 06:22:23 PM
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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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Title: circular convolution using vedic mathematics
Page Link: circular convolution using vedic mathematics -
Posted By:
Created at: Sunday 14th of April 2013 01:40:09 AM
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Title: CIRCULAR CONVOLUTION OF TWO SEQUENCES
Page Link: CIRCULAR CONVOLUTION OF TWO SEQUENCES -
Posted By: seminar class
Created at: Friday 06th of May 2011 06:05:31 PM
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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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Title: CIRCULAR CONVOLUTION OF TWO FINITE LENGTH SEQUENCES USING DFT AND IDFT
Page Link: CIRCULAR CONVOLUTION OF TWO FINITE LENGTH SEQUENCES USING DFT AND IDFT -
Posted By: seminar class
Created at: Friday 06th of May 2011 06:10:45 PM
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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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Title: circular convolution of different length sequences
Page Link: circular convolution of different length sequences -
Posted By:
Created at: Wednesday 21st of November 2012 01:44:31 AM
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Title: linear convolution of two given sequences using dsp kit
Page Link: linear convolution of two given sequences using dsp kit -
Posted By:
Created at: Wednesday 03rd of December 2014 01:25:04 AM
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Title: verilog code for circular convolution
Page Link: verilog code for circular convolution -
Posted By:
Created at: Sunday 27th of March 2016 08:57:42 PM
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Title: 3LINEAR CONVOLUTION OF TWO SEQUENCES
Page Link: 3LINEAR CONVOLUTION OF TWO SEQUENCES -
Posted By: seminar class
Created at: Friday 06th of May 2011 05:59:49 PM
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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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