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Results tagged with svd
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Delayed waves existing MIMO eigenmode transmission
Assuming $N_p$ is, as discussed in the comments, the number of taps in a multipath channel.
While higher-order singular value decomposition on tensors with more than two dimensions are a thing, the fa …
- 32.5k
0
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Pros, Cons, and Applications of SVD-based Image Compression (Singular Value Decomposition)
(There might be techniques to detect motion or similar frames through SVD; but these would work on the pre-transformed image, not on pixels.) …
- 32.5k
4
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SVD vs matched filter
Matched filtering is a method of linear algebra, and not different than using the SVD to find the subspaces. It's just that for matched filtering, the signal space is known. …
- 32.5k
1
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How to extract features from nonstationary signal using SVD (singular value decomposition)?
autocovariance matrix (which can be easily estimated by the dyadic product of a receive signal vector with itself, for example), and that autocovariance matrix can, using an EVD (which is a special case of the SVD … So, I don't get the full context of the "Eigenvectors that maximize the mean", but maybe you don't have to – you can walk on the shoulders of other SVD-based spectral estimation papers, and maybe that'll …
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1
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MUSIC algorithm derivation
I can't fully agree with what you imply for $\mathrm E\left[\mathbf{xx^H}\right]$.
From what I roughly recall upon skimming old literature [1, p. 20f]
If your input signal is harmonic, the autocorr …
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