- #1
FrogPad
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The following is all in discrete time, n is an integer
We are given that:
[tex] h_2(n) = \delta ( n ) + \delta ( n-1 ) [/tex]
I want to find the convolution of h2[n]*h2[n].
I don't really understand how to solve this properly.
So,
[tex] y(n) = \Sigma_{k=-\infty}^{k=\infty} (\delta(n)+\delta(n-1)) \times (\delta(n-k)+\delta(n-k-1)) [/tex]
So the [tex] (\delta(n)+\delta(n-1)) [/tex] pulls out because it is constant.
So,
[tex] y(n) = (\delta(n)+\delta(n-1)) \Sigma_{k=-\infty}^{k=\infty} \delta(n-k)+\delta(n-k-1) [/tex]
How do I even solve this?
The book gets
h_2(n)*h_2(n) = [tex] \delta(n) + \2\delta(n-1) + \delta(n-2) [/tex]
I don't understand how they get this.
We are given that:
[tex] h_2(n) = \delta ( n ) + \delta ( n-1 ) [/tex]
I want to find the convolution of h2[n]*h2[n].
I don't really understand how to solve this properly.
So,
[tex] y(n) = \Sigma_{k=-\infty}^{k=\infty} (\delta(n)+\delta(n-1)) \times (\delta(n-k)+\delta(n-k-1)) [/tex]
So the [tex] (\delta(n)+\delta(n-1)) [/tex] pulls out because it is constant.
So,
[tex] y(n) = (\delta(n)+\delta(n-1)) \Sigma_{k=-\infty}^{k=\infty} \delta(n-k)+\delta(n-k-1) [/tex]
How do I even solve this?
The book gets
h_2(n)*h_2(n) = [tex] \delta(n) + \2\delta(n-1) + \delta(n-2) [/tex]
I don't understand how they get this.
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