List questions from convolution

Published on 02 Dec 2014 - 20:24

218

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Solving convolution $f(t)*g(t)$ where $f(t) = u(t) - u(t-2)$ and $g(t) = e^{-2t}u(t)$ where $u(t)$ is heaviside step function

Published on 27 Mar 2026 - 10:10

1.2k

Views

Finding convolution of exponential distribution

Published on 03 Dec 2014 - 7:28

582

Views

Discretization of a convolution integral for constrained optimization problem

Published on 04 Dec 2014 - 16:30

33

Views

Laplace transform involving two functions of t

Published on 04 Dec 2014 - 18:51

19.2k

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Convolution Theorem involving a constant.

Published on 06 Dec 2014 - 11:05

53

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Is it true that for every signed probability distribution `f`, there are positive distributions `g` and `h` st. `fg=h`?

Published on 07 Dec 2014 - 22:28

6.9k

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Exponential decay convolved with a gaussian

Published on 08 Dec 2014 - 23:47

60

Views

Inverse Laplace transformation correct?

Published on 09 Dec 2014 - 14:51

867

Views

Calculating PDF of $Z$ from $X,Y$ when $Z=X+Y$, given the PDFs of $X$ and $Y$

Published on 09 Dec 2014 - 17:22

176

Views

Convolution integral

Published on 10 Dec 2014 - 14:28

507

Views

What is a convolution kernel?

Published on 28 Mar 2026 - 7:35

3k

Views

Convolution of discrete uniform distributions

Published on 12 Dec 2014 - 12:08

167

Views

Does convolution preserve strict log-concavity?

Published on 12 Dec 2014 - 15:26

45

Views

How to find solution of the integral equation?

Published on 12 Dec 2014 - 16:11

List Question

Solve initial value problem with unspecified right-hand side $g(t)$

Solving convolution $f(t)*g(t)$ where $f(t) = u(t) - u(t-2)$ and $g(t) = e^{-2t}u(t)$ where $u(t)$ is heaviside step function

Finding convolution of exponential distribution

Discretization of a convolution integral for constrained optimization problem

Laplace transform involving two functions of t

Convolution Theorem involving a constant.

Is it true that for every signed probability distribution `f`, there are positive distributions `g` and `h` st. `fg=h`?

Exponential decay convolved with a gaussian

Inverse Laplace transformation correct?

Calculating PDF of $Z$ from $X,Y$ when $Z=X+Y$, given the PDFs of $X$ and $Y$

Convolution integral

What is a convolution kernel?

Convolution of discrete uniform distributions

Does convolution preserve strict log-concavity?

How to find solution of the integral equation?

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