Code : clc clear all close all x=input('Enter the sequence'); n1=input('Enter the time sample range:'); h=fliplr(x); n2=-fliplr(n1); z=[]; for i=1:length(x) g=h.*x(i); z=[z;g]; end [r c]=size(z); k=r+c; t=2; y=[]; cd=0; while(t
I believe the contents of this clip is good, however you talk in the "fast and furious" manner, make it hardly understandable, deviate the purpose of making it.
Then in that case , it is cross-correlation KARTHIKEYA TSVR , for cross-correlation , you can refer this -- ruclips.net/video/xS8x6oAeg_U/видео.html Happy Learning
Code :
clc
clear all
close all
x=input('Enter the sequence');
n1=input('Enter the time sample range:');
h=fliplr(x);
n2=-fliplr(n1);
z=[];
for i=1:length(x)
g=h.*x(i);
z=[z;g];
end
[r c]=size(z);
k=r+c;
t=2;
y=[];
cd=0;
while(t
Thank you so much. It is really appreciated.
You are very welcome Josh H! Happy Learning :-)
Thank you! Much helpful explanation.
Glad it was helpful!
I believe the contents of this clip is good, however you talk in the "fast and furious" manner, make it hardly understandable, deviate the purpose of making it.
could you pls explain on Wiener-Khintchine relation using power spectrum of given signal
what if we have two inputs given ??
Then in that case , it is cross-correlation KARTHIKEYA TSVR , for cross-correlation , you can refer this -- ruclips.net/video/xS8x6oAeg_U/видео.html Happy Learning
Thank you so much
You're most welcome :-)
Thankyou so much.
You're most welcome Vaidehi Singh! Happy Learning :-)