Coherence

Coherence

In Signal Processing and Machine Learning

Santamaria, Ignacio; Ramirez, David; Scharf, Louis

Springer International Publishing AG

01/2023

487

Dura

Inglês

9783031133305

15 a 20 dias

928

Descrição não disponível.
Introduction.- Historical perspective, motivating problems, and preview of what is to come.- Least Squares and related.- Classical correlations and coherence.- Coherence in the multivariate normal (MVN) model.- Classical tests for correlation.- One-channel matched subspace detectors.- Adaptive subspace detectors.- Two channel matched subspace detectors.- Detection of spatially-correlated time series.- Coherence and the detection of cyclostationarity.- Partial coherence for testing causality.- Subspace averaging.- Coherence and performance bounds.- Variations on coherence.- Conclusion.
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Coherence in science and engineering;Coherence in signal processing;Coherence in compressed sensing;Multichannel coherence;Least squares and its applications;Correlation and partial correlation analysis;Principal component analysis (PCA);Canonical and multiset correlation analysis (CCA);Multidimensional scaling;Kernel methods;Hypothesis testing for covariance structure;Beamforming and spectrum analysis;Matched and adaptive subspace detectors;Multichannel detection of spacetime signals;Passive and active detection;Subspace averaging and its applications;Performance bounds and uncertainty quantification;Matrix optimization;The SVD and GSVD;Normal and matrix distribution theory