Independent Component Analysis is a computational method for separating a multivariate signal into additive subcomponents supposing the mutual statistical independence of the non-Gaussian source signals.
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Blind signal separation on mixed images using FastICA
I have a grayscale image, which was obtained from a set of images randomly mixed. I would use the FastICA algorithm in order to retrieve the original images, but the number of original images is not ...
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2answers
115 views
Face recognition using independent component analysis (ICA)
Reading about independent component analysis (ICA), I learned that one of its applications is face recognition. I think in this problem we have a database of images and a test image to be recognized. ...
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126 views
Can I use independent component analysis if I have two discrete populations of signal sources mixed together?
I understand (mostly) how independent component analysis (ICA) works on a set of signals from one population, but I am failing to make it work if my observations (X matrix) includes signals from two ...
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504 views
How to remove reflections from images?
I have been playing around with making images better and removing all the unwanted disturbances from it then again i found out a major concern would be removing the unwanted reflections that might ...
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947 views
How can I calculate the Expectation for a particular known vector?
Let's say I have a row vector $X = [x1, x2, x3, ..., xn]$ and another row vector $Y = [y1, y2, y3, ..., yn]$. I want to check whether the two vectors are statistically independent or not.
Now two ...
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ICA - Statistical Independence & Eigenvalues of Covariance Matrix
I am currently creating different signals using Matlab, mixing them by multiplying them by a mixing matrix A, and then trying to get back the original signals using FastICA.
So far, the recovered ...
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1answer
157 views
How does ICA handle inevitable delays in signals?
I am currently reading up on and teaching myself ICA from a number of good sources. (Also see this post for past context). I have the basic jist down, but there is something I am not clear about.
For ...
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2answers
358 views
Fail to separate sound signals by FastICA on real-world recording
I have written a program to perform FastICA on a stereo WAV file using the code on Python MDP FastICA Example
With the audio examples I get very good results.
Then I try to do real world recording ...
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Is ICA appropriate for separating mixed signals when all source signals are NOT detectable at all sensors?
A generic implementation of ICA for the separation of a mixture of $N$ signals into their $M$ constituent components requires that the signals be assumed to be a linear instantaneous mixture of the ...
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Can ICA be applied, when the number of mixture signal is less than number of source signal?
I am referring to the the following paper : Non-contact, automated cardiac pulse measurements using video imaging and blind source separation
In the above article, the authors are able to extract ...
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519 views
What are the proper pre-processing steps to perform Independent Component Analysis?
What are the proper steps for preprocessing my waveforms in order to perform an independent component analysis (ICA) later? I understand the how, though further explanation of that doesn't hurt, but ...
