Questions tagged [signal-processing]
The signal-processing tag has no usage guidance.
22
questions
20
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4answers
4k views
What is the best way to find discontinuities of a black-box function?
It was suggested that this might be a better place for this question than Mathematics Stack Exchange where I asked it before.
Suppose one has a black-box function which can be evaluated anywhere (...
6
votes
1answer
367 views
Calculate large and small frequency separation for the Sun
I want to determine the big and small frequency seperation from timeseries data for the sun. An excerpt of the data (timeseries and power series) is plotted below.
The power series is calculated in ...
5
votes
1answer
129 views
Use Butterworth and Chebychev filters
I need to calculate frequency response, phase response and apply to signals the Butterworth, Chebychev1 and Chebychev2 band-pass filters.
I'm developing in C++ with Qt, and I'm looking for algorithms ...
4
votes
1answer
139 views
How can we compute statistics of the DFT of a random signal?
I would like to know how to compute the statistics of the discrete Fourier transform of a noise signal. To illustrate what I mean, I will first explain in detail a computation I have managed to do ...
3
votes
1answer
103 views
Estimating Regions of Flow in Grayscale Video
I am looking to find an algorithm/method by which I can detect regions of flow in a video. The video is that of a grayscale heatmap where the majority of the image is not in motion. The areas that are ...
3
votes
0answers
50 views
Can Mallat's pyramidal algorithm be extended to non-power of 2 input sizes?
Mallat's pyramidal algorithm for the discrete wavelet transform operates on power-of-2 vector lengths. Can it be extended to work on inputs of any size without resorting to zero padding?
2
votes
2answers
723 views
Parametric spectrum estimation using aryule: difference between Python and Matlab
I have some code illustrating my problem below. As you can see from the results- Matlab is significantly faster than python. It seems that the function which performs the levinson durbin recursion in ...
2
votes
0answers
378 views
Fast Forward Laplace transform
There are examples for fast numerical inversion of the Laplace transforms. For example here:
http://www.mathworks.com/matlabcentral/fileexchange/32824-numerical-inversion-of-laplace-transforms-in-...
2
votes
0answers
57 views
Error in treating non-uniformly spaced data as uniform
In discussing smoothing filters,
Numerical Recipes p. 772 says
... irregularly sampled data, where the values $f_i$ are not uniformly spaced ...
one can simply pretend that the data points are ...
2
votes
3answers
192 views
Amplitude at a given frequency in a wide band signal
Could anyone suggest the most computationally efficient method for finding amplitude at a given frequency having a noisy wide band signal.
To be more specific about a task. I have some physical ...
1
vote
2answers
67 views
identifying peaks in data
I have data with peaks on some background, for example:
The two prominent peaks at ~390 and ~450, as well as the much smaller peak at ~840. What are some options to programmatically find the position ...
1
vote
1answer
215 views
Power spectrum incorrectly yielding negative values
I have a real signal in time given by:
And I am simply trying to compute its power spectrum, which is the Fourier transform of the autocorrelation of the signal, and is also a purely real and ...
1
vote
1answer
2k views
Creating Periodic Noise in Matlab and then adding it to a signal
I am not sure if this is the correct forum for this question but here it goes. If this is not the correct forum please direct me to the appropriate forum.
I wish to add some periodic noise to a 1-D ...
1
vote
0answers
23 views
Fast convergence of smoothing of periodic noise
I have essentially periodic data from a simulation (not exactly periodic but is qualitatively fairly periodic), and I'd like to take an average or noise filter of some sort that I can get a well ...
1
vote
0answers
101 views
What does the Jackson Kernel measure?
A certain filter I'm writing uses two different kernels. The Fejer kernel (which is common) and the Jackson kernel:
$$ \Delta_T(x) = T \,\left( \frac{\sin \pi T x}{\pi T x}\right)^2 \quad\text{and}...
1
vote
0answers
43 views
Best way to to find fitting parameters for time series of decaying-growing oscillator type
I have discrete time series emerging from the numerical simulations.
It means that the time series can be slightly noisy.
The time series should "obey" to the following formula:
$$ \psi(t) = \sum_{i=1}...
1
vote
0answers
161 views
Am I using the incorrect implementation of the fast Chebyshev transform?
I was told that the fast Chebyshev transform has superior spectral convergence, but I am unable to verify its rumored convergence. I was given plots of its spectral convergence, where the signal's ...
0
votes
1answer
71 views
Is the inverse radon transform considered a linear operation?
I wanted to know if practically the inverse radon transform operation is considered linear and would be a good candidate for the application of compressed sensing. To my understanding it should be ...
0
votes
1answer
43 views
Find shift in high resolution noisy signal if only local argmax data are available
Let's say I have a signal which consists several pulses of approximately equal height, and I have to correlate it with the expected positions of the peaks to find the shift of this signal w.r.t. a ...
0
votes
1answer
53 views
Cyclic Deconvolution
Suppose I want to generate a vector y which when circularly convoluted with a vector h gives me a vector ...
0
votes
2answers
80 views
Which technique to use for signal/image processing or noise removal?
I have an image that looks like this (it might appear low res in a browser because it is 16 MB). This image was taken with a scanning electron microscope, but because the equipment is outdated there ...
0
votes
1answer
140 views
Hankel transform from paper works only for certain functions
I implemented an algorithm for solving the Hankel transformation based on a paper. My problem is: It works very good for the functions suggested in the paper (as test functions), it works pretty ok ...
