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3
votes
0answers
65 views
fit theoretical spectrum to simulated one
I have a bunch of simulated time series, for which I can compute the power spectrum. Generally, the simulated power spectrum can be sketched as follows:
I now aim to calculate the features of the ...
1
vote
1answer
76 views
Determine the optimum receiver and the corresponding $P_{eM}$ for an AWGN channel
I have a source that emits $M$ equiprobable messages, which are assigned signals $s_1, \dots,s_M,$ that are equidistant by $a$. That is, if we plot the $s_k$ signals in a horizontal axis they are dots ...
0
votes
0answers
28 views
Recommended Reading for Source Localisation
Has anyone here studied the problem of source localisation, such as acoustic source localisation? What introductory text would you recommend?
Ultimately I want to study something else, source ...
2
votes
1answer
89 views
How to calculate signal which is not changed by a filter?
Suppose that there is a FIR filter F and a signal S. The filtered signal is the convolution of F and S, F * S.
The problem: how to calculate a signal S' such that F * S' = S' (the filtered version ...
4
votes
1answer
78 views
Finding length of period in time domain data
I have a series of measurements of a signal source, which emits a periodic signal at an unknown interval time of p seconds. Detecting the signal is not easy so I am ...
13
votes
1answer
193 views
How to tell if an error surface is convex? (Is it determined by the Covarinace matrix or the Hessian)?
I am currently learning about least-squares (and other) estimations for regression, and from what I am also reading in some adaptive algorithm literatures, often times the phrase "... and since the ...
