The SVD and reduced rank signal processing

DOI10.1016/0165-1684(91)90058-QzbMath0729.94507OpenAlexW2005553562MaRDI QIDQ807602

Louis L. Scharf

Publication date: 1991

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0165-1684(91)90058-q

Mathematics Subject Classification ID

Systems theory; control (93-XX) Information and communication theory, circuits (94-XX)

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Subspace-based noise reduction for speech signals via diagonal and triangular matrix decompositions: survey and analysis ⋮ Reduced-rank estimation for ill-conditioned stochastic linear model with high signal-to-noise ratio ⋮ Filtering and frequency interpretations of singular spectrum analysis ⋮ Constructing fixed rank optimal estimators with method of best recurrent approximations ⋮ Compressive sensing of analog signals using discrete prolate spheroidal sequences ⋮ Data compression under constraints of causality and variable finite memory ⋮ Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data ⋮ Performance of the stochastic MV-PURE estimator in highly noisy settings ⋮ Data compression using SVD and Fisher information for radar emitter location ⋮ Towards theory of generic principal component analysis

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