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Found 5 papers, 4 papers with code
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
The article introduces an elementary cost and storage reduction method for spectral clustering and principal component analysis.
Hidden Markov chains and fields with observations in Riemannian manifolds
Hidden Markov chain, or Markov field, models, with observations in a Euclidean space, play a major role across signal and image processing.
Statistics Theory Statistics Theory
A complete framework for linear filtering of bivariate signals
A complete framework for the linear time-invariant (LTI) filtering theory of bivariate signals is proposed based on a tailored quaternion Fourier transform.
Spectral analysis of stationary random bivariate signals
This spectral density can be meaningfully interpreted in terms of frequency-dependent polarization attributes.
Methodology
Time-frequency analysis of bivariate signals
The resulting spectrograms and scalograms provide meaningful representations of both the time-frequency and geometrical/polarization content of the signal.
Methodology
