Questions tagged [ica]

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.

Filter by
Sorted by
Tagged with
12
votes
3answers
4k 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 ...
17
votes
1answer
4k 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 I'...
14
votes
4answers
5k views

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 ...
10
votes
3answers
1k views

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 ...
5
votes
1answer
5k views

How can I calculate the Expectation for a particular known vector?

Let us say I have a row vector $X = [x_1, x_2, x_3, \ldots, x_n]$ and another row vector $Y = [y_1, y_2, y_3, \ldots, y_n]$. I want to check whether the two vectors are statistically independent or ...
0
votes
2answers
2k views

Why non gaussian variables are independent

I have read a lot about ICA. I think I could not find the answer that why non-Gaussian Variables are independent. What I understand, Central Limit Theorem states that distribution of sum of ...