Questions tagged [convolution]
Questions on the (continuous or discrete) convolution of two functions. It can also be used for questions about convolution of distributions (in the Schwartz's sense) or measures.
3,032
questions
6
votes
1
answer
293
views
Proving an integral identity: $\int\nolimits_{-\infty}^\infty x f(x)f(t-x) dx =\frac{t}{2} \int_{-\infty}^\infty f(x)f(t-x) dx $
Let $f$ be a nonnegative (probably not needed) function on $\mathbb{R}$ such that for all $t$, $xf(x)f(t-x)$ and $f(x)f(t-x)$ are both integrable in $x$.
Is it true that $$ \int\nolimits_{-\infty}^\...
2
votes
1
answer
3k
views
LTI: How to calculate the step response of this impulse response?
i need to evaluate the convolution sum of x[n] * h[n].
x[n] is the step function u[n].
I know how the output should look like but i don't know how i can calculate it.
I think the lower border is 0, ...
1
vote
1
answer
3k
views
How to sketch the following discrete time signal?
i need to sketch y[n] where * denotes the convolution operator and delta is the unit impulse.
I know how to sketch x[n-1] and delta[n-2] but i have problems with the convolution.
In my script i only ...
3
votes
3
answers
5k
views
Convolution of triangle function with itself
I'm trying to find the convolution $(A \ast A)(x)$, where
$$A(x) = \begin{cases}
1 + x, & -1\leq x \leq 0,\\
1 - x, & 0\leq x \leq 1,\\
0, & \text{otherwise},
\end{cases}$$
so far ...
4
votes
1
answer
598
views
"anti-gaussian" 2D convolution kernel
What is the 2D kernel, k, that when convoluted with a 2D signal, f, that is convoluted again with a gaussian 2D kernel, g, produces a result that is closest to the original signal, f'.
Something like ...
6
votes
3
answers
4k
views
Convolution of compactly supported function with a locally integrable function is continuous?
Can someone show me the proof that the convolution of a compactly supported real valued function on $\mathbb{R}$ with a locally integrable function is also continuous? I feel that this is a standard ...
2
votes
2
answers
234
views
Commutativity of convolutions implies $\int\limits_{-\infty}^\infty f(t)dt = \int\limits_{-\infty}^\infty f(t-a)dt$?
As I understand it, to convolve $f$ and $g$ means to find $\displaystyle \int_{\mathbb R} f(a)g(t-a)da$, which is also apparently commutative, and therefore $\displaystyle \int_{\mathbb R}f(a)g(t-a)da ...
4
votes
1
answer
2k
views
Preservation of Lipschitz Constant by Convolutions
The following is a step in a proof: $f$ is a Lipschitz function from $E$ to $F$ where $E$ is a finite-dimensional Banach space and $F$ an arbitrary Banach space. $\phi\geq 0$ is a $C^\infty$ function ...
5
votes
2
answers
2k
views
Limits and convolution
Let $f,g \in L^2(\mathbb{R^n})$, $\{ f_n \}, \{ g_m \} \subset C^\infty_0(\mathbb{R}^n)$ (infinitely differentiable functions with compact support) where $f_n \to f$ in $L^2$, and $g_n \to g$ in $L^2$....
1
vote
2
answers
1k
views
A convolution identity (revision of the question "Is this convolution identity known?")
I have deleted the content of the original post.
The following exercise is inspired by answers to the questions this and this, but no knowledge of probability theory is required. The solution is ...
1
vote
1
answer
1k
views
Convolution on group with measure
I was wondering about the generalization of the concept of convolution from the familiar one on real spaces and how many properties still remain.
For convolution on Lebesgue-integrable real-valued ...
12
votes
3
answers
4k
views
Is $L^2(\mathbb{R})$ with convolution a Banach Algebra?
Is $L^2(\mathbb{R})$ a Banach algebra, with convolution?
I am pretty sure the answer is no, because I think that
$f,g \in L^2(\mathbb{R})$ does not imply that $f*g \in L^2(\mathbb{R})$. However, I ...
1
vote
1
answer
240
views
behaviour of discontinuities after convolution
$f$ is smooth (derivatives of all orders exist) except at $x_1$,$x_2$,$x_3$ where derivatives exist only upto orders of $k_1$,$k_2$,$k_3$ respectively, where $k_i$ is a natural number. Same is the ...
14
votes
4
answers
2k
views
How this operation is called?
This operation is similar to discrete convolution and cross-correlation, but has binomial coefficients:
$$f(n)\star g(n)=\sum_{k=0}^n \binom{n}{k}f(n-k)g(k) $$
Particularly,
$$a^n\star b^n=(a+b)^n$$...
5
votes
1
answer
787
views
Let $f$ be a continuous but nowhere differentiable function. Is $f$ convolved with mollifier, a smooth function?
Let $f$ be a continuous but nowhere differentiable function. Is $f$ convolved with mollifier, a smooth function?