MATLAB: Signal Processing / Model Evidence !!

model evidence

Hello everyone.

I am just wondering if there is an algorithm or technique to give the answer to the question "If the two signals are originally from the same source".. I am trying to calculate the delay time between two signals and the data are real data so I don't know my answer myself but I meant to calculate the delay time then be able to answer if the two signals are alike but just that one is delayed but at the moment with me I just answer this question by looking at the signals after shifting it back by the delayed time. My question is, is there a more practical way to code then it will be like a model evidence rather than my own judgement based on some alogorithm it will answer this question?? Any idea on any algorithm I should use and read about will be appreciated !!

Cheers, Susan

Best Answer

In general, you need to make some assumptions about what might have happened to the signals (e.g. addition of noise, non-linear distortion, delays etc.) in order to answer your question. However, it sounds like you believe that there are two possibilities: (a) the signals are unrelated or (b) the main difference is just a time delay. In that case, cross-correlation may be sufficient. Start by having a look at that.

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MATLAB: Cross correlation problem..

Hi Susan,

I guess you are looking for the xcorr function from Signal Processing Toolbox ...

Titus

MATLAB: ‘Find’ function doesn’t get me all required values

We would have to see your code, your matrix, and a bit more detail as to what you want to do. ‘Logical indexing’ rather than using find (unless you need the actual index numbers) might be easier.

EDIT — (15:35 GMT, 2013 04 28)

When I run this:

D = load('Bianca Elena Ivanof probability_judgment.mat');
M = D.probability_judgment;
GT100 = sum(M > 100)
GE100 = sum(M >= 100)

I get:

GT100 =
     5
GE100 =
   256

The 5 values that seem to meet your criterion are:

Which one isn’t on this list? I’ve not seen any evidence that MATLAB’s comparison functions are inaccurate. I doubt that floating-point approximation error could account for the discrepancy you see. Use format short g to look at your vector.

Best Answer

Related Solutions

MATLAB: Cross correlation problem..

MATLAB: ‘Find’ function doesn’t get me all required values

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