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Questions tagged [signal-processing]

Questions on the mathematical aspects of signal processing. Please consider first if your question might be more suitable for http://dsp.stackexchange.com/

1 vote
0 answers
60 views

As stated in the Wikipedia page of the Kosambi-Karhunen-Loève theorem, the Karhunen-Loève (KL) representation of a zero-mean stochastic process $\{\mathsf{x}(t)\}_{t\in[a,b]}$ is $$ \mathsf{x}(t) = \...
enTrance's user avatar
1 vote
0 answers
50 views

As the title says: If $\theta(\omega) = - \omega t_0$ what is $t_0$? $$t_0 = -\dfrac{\theta(\omega)}{\omega} \quad \text{or} \quad t_0 = -\dfrac{\text{d}\theta(\omega)}{\text{d}\omega}, \quad \omega \...
Frederik J's user avatar
1 vote
2 answers
78 views

When the region of convergence (ROC) of a $Z$-transform $F(z)$ is of the form $|z|>r$, meaning it corresponds to the outermost region of the $z$ domain, then $f[n]$ is necessarily right-sided. ...
Salmon's user avatar
  • 11
0 votes
0 answers
44 views

Cross-posted from signal processing stack exchange: Consider the following approach for de-rating proportional feedback gains to account for a measurement delay by controlling a future-projected ...
user3716267's user avatar
  • 1,431
0 votes
0 answers
42 views

Question Consider the two periodic signals $$ y(t)=B\sum_{n\in\mathbb Z}\operatorname{rect}\!\bigl(2t-n\bigr), > \qquad x(t)=A\sum_{n\in\mathbb > Z}\operatorname{rect}\!\Bigl(\tfrac{t}{2}-6n\...
Losh_EE's user avatar
  • 346
1 vote
1 answer
116 views

I have heard it often stated without much explanation that ... any orthogonal transformation of [a Gaussian white noise vector] will result in a Gaussian white random vector. In particular, under ...
bl5eebryce's user avatar
1 vote
1 answer
156 views

In some applications such as amplitude modulation, one encounters product of cosines of the form: $$x(t) = \cos(\omega_1 t + \phi_1)\cos(\omega_2 t + \phi_2) $$ And for specific values of $\omega_1, \...
Your neighbor Todorovich's user avatar
0 votes
1 answer
68 views

It is well known that multiplying tempered distributions is generally not possible, especially considering that pointwise values are not defined in general. I am however wondering if a relation can be ...
Finn Heijink's user avatar
0 votes
0 answers
56 views

Let’s say I have a signal from angle sensor that gives me the measured angle. Let’s call it $A$. I want to smooth the measurements so I am doing simple FIR with B coeff. like this: $A_e[k] = A[k]*B[0]+...
Yonatan's user avatar
0 votes
1 answer
79 views

I was reading Signals and systems by Professor Oppenheim. In the first chapter it writes (not in exact words): The discrete-time unit step is the running sum of the unit sample. That is $$u[n]=\sum^n_{...
slug's user avatar
  • 3
0 votes
0 answers
41 views

The Allan Variance Sigma Tau Diagram allows one understand the different kinds of noise that are present in a time series; the following two images are taken from the wikipedia page related to Allan ...
Manfred Weis's user avatar
0 votes
3 answers
184 views

From Wikipedia: A pulse in signal processing is a rapid, transient change in the amplitude of a signal from a baseline value to a higher or lower value, followed by a rapid return to the baseline ...
Aria's user avatar
  • 442
1 vote
0 answers
101 views

This series is from a signal processing coding assignment. It is the result of the convolution between two signals, and I need to solve this series to prove that it really equals the convolution. The ...
Nate3384's user avatar
  • 325
2 votes
1 answer
106 views

I’m trying to pin down a subtle point about the derivation of the convolution formula for an LTI system $L$. We start with the representation $$x(t) = (x*\delta)(t) = \int _{-\infty}^{\infty} x(\tau) \...
hasanghaforian's user avatar
7 votes
0 answers
342 views

I have made great efforts on the derivation, and the results are really close but I am still missing the last step. If someone can help that'd be great! Problem setup Consider this modified Kalman ...
G H's user avatar
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