# Questions tagged [convolution]

Convolution is a mathematical operation on two functions f and g, producing a third function that is typically viewed as a modified version of one of the original functions.

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### Convolution manually implement in Simulink

How to make block arrangements in Simulink to convolve 2 continuous input signal? For some reason, I have to be able to reset the convolution integral accumulation. Hence, I can't use the conv block ...
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### Multiplication in frequency domain for a signal containing a whole frequency spectrum

Imagine we have two signals in the frequncy domain X(f) and H(f), for one of the signal H(f) I have the complex pair and the frequncy at which that complex pair exists. The second could be any random ...
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### Constructing an input signal whose response is determined by the impulse response

I'm self-studying Signals and Systems by Alan Oppenheim, and I have some trouble understanding the solution to a homework problem. P5.13 tries to find the sufficient and necessary condition on the ...
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### Convolution: graphing output y(t) with given input x(t) and impulse response h(t)

I have the following question in my mock exam. My graphing looks as following: Could someone please correct?
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### Validity of taking an inverse $\mathcal{Z}-$ transform instead of taking an inverse DTFT

I have the following problem: I am using the Convolution Theorem and have got an expression of $H(z)X(z)$ and now I need to take $\text{DTFT}^{-1}(H(z)X(z))$, namely I have to take the inverse DTFT ...
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### What methods allow learning "changes" in data, and then generating synthetic output?

Suppose I'm interested in a process of the sort: Original data -> Something happened to data -> Result data More particularly, consider that we observe many results of "something happened ...
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### how to prove that the convolution between two discrete signals is the discrete signal of convolution between two continuous signals

Like the title. We already know $x[n]$ and $h[n]$ are the discrete time signal of $x(t)$ and $h(t)$ respectively, which are continuous time signals. And also $x(t)*h(t)=y(t)$, $x[n]*h[n]=y[n]$. Prove ...
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### How to zero pad and do overlapping block convolution to reconstruct audio for frequency filtering in time-frequency domain

I am doing STFT (short-time Fourier transform) on real-time audio to filter frequencies by magnitudes (to reduce noise) which have certain drawbacks like noise spikes in reconstructed audio in the ...
1 vote
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### Uniform partitioned convolution on a 2D image across height and width

I have 2D convolution with a large input image (512x1920). I am trying to partition the image across height and width to perform this convolution as N pieces. This would involve having an intersection ...
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