List questions from convolution

Published on 17 Jul 2018 - 21:21

30

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$f_{X+Y}(t)$ where $X \sim \mathcal U([a,b])$ and $Y \sim \mathcal U([c,d])$

Published on 22 Jul 2018 - 2:13

1.4k

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Convolution of locally integrable and compactly supported infinitely differentiable function

Published on 22 Jul 2018 - 7:04

64

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$2$-Norm for Convolution

Published on 22 Jul 2018 - 16:26

258

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Artificial unity for the convolution.

Published on 25 Mar 2026 - 9:44

404

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Convolution operator has norm 1 with respect to $L^2$ norm

Published on 24 Jul 2018 - 14:56

66

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On Convolution: Show that $g_a *g_b = g_{\min(a,b)}$

Published on 26 Jul 2018 - 3:39

84

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Which transform makes correllation a multiplication?

Published on 24 Mar 2026 - 20:30

177

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What is the relation between a filter matrix and convolution Fourier basis?

Published on 31 Jul 2018 - 6:52

248

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Evaluating matrix integral

Published on 31 Jul 2018 - 17:45

209

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Find density function for Z=X-Y

Published on 02 Aug 2018 - 8:01

146

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Technique for Fourier transform

Published on 02 Aug 2018 - 19:06

75

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Why is the region of the integral in convolution truncated to t when the functions are zero in negative t?

Published on 02 Aug 2018 - 22:45

194

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How does $\int (uv)dx = \int u dx \int v dx $ follow from $ (uv)w = u(v*w) $ by taking $w = 1$?

Published on 25 Mar 2026 - 15:53

453

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Convolution Theorem for Distributions

Published on 19 Mar 2026 - 20:20

List Question

Find the density function of $Z=X+Y$ when $X$ and $Y$ are standard normal

$f_{X+Y}(t)$ where $X \sim \mathcal U([a,b])$ and $Y \sim \mathcal U([c,d])$

Convolution of locally integrable and compactly supported infinitely differentiable function

$2$-Norm for Convolution

Artificial unity for the convolution.

Convolution operator has norm 1 with respect to $L^2$ norm

On Convolution: Show that $g_a *g_b = g_{\min(a,b)}$

Which transform makes correllation a multiplication?

What is the relation between a filter matrix and convolution Fourier basis?

Evaluating matrix integral

Find density function for Z=X-Y

Technique for Fourier transform

Why is the region of the integral in convolution truncated to t when the functions are zero in negative t?

How does $\int (uv)dx = \int u dx \int v dx $ follow from $ (uv)w = u(v*w) $ by taking $w = 1$?

Convolution Theorem for Distributions

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