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How to see how a dataset changes over time with PCA.
It's hard to know exactly what you are hoping to achieve here. When using pca(x) in Matlab, we are assuming that "rows of X corr...

más de 6 años hace | 0

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AR prediction leads fitted data
I am using aryule to construct a predictive AR filter. After I filter the data, the predicted values "lead" the actual data by o...

más de 6 años hace | 0 respuestas | 0

Pregunta

What is the difference between filter and conv?
I am trying to design a predictive AR filter using aryule. The code looks like this: h = aryule(signal,order); est_signa...

más de 6 años hace | 2 respuestas | 0

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Why is my loop only running 217 times when I expect it to run 649 times? See the script below
In your second script you assign the counter variable 'p' to be a single value, length(m(1,:)), which is simply 649. So Matlab c...

alrededor de 7 años hace | 0

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How to solve the double summation of the given expression
A blunt force method would be to have two for loops, one nested in the other. In the inner for loop, sum over the 'i' variables,...

alrededor de 7 años hace | 0

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Matlab gradient does not follow exact numerical formula
When the numerical gradient is computed, Matlab uses forward differences for the end points, and uses central differences for t...

alrededor de 7 años hace | 1 respuesta | 0

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How does MATLAB compute the covariance of a complex array?
So I answered my own question almost a minute after asking it. Turns out the transpose command, ', is actually the conjugate tra...

alrededor de 7 años hace | 0

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How does MATLAB compute the covariance of a complex array?
I'm working with a complex array and looking at the covariance matrix and the relation matrix. (The explanation of these matrice...

alrededor de 7 años hace | 1 respuesta | 0

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Sign difference between coeff=pca(X) and [~,~,v] = svd(X)
I am experiencing sign differences between my computations for principal component analysis using the pca function and the svd f...

alrededor de 8 años hace | 3 respuestas | 0