Introduces novel zero-phase filter matrix designs and three new sparsity-assisted models (SASD, SAPR, SASDPR) that combine LTI filters, sparse derivatives, and wavelets for simultaneous denoising and pattern recognition, demonstrated on sleep EEG.
Computation of system balancing transformations and other applications of simultaneous diagonalization algor ithms
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Sparsity-Assisted Signal Denoising and Pattern Recognition in Time-Series Data
Introduces novel zero-phase filter matrix designs and three new sparsity-assisted models (SASD, SAPR, SASDPR) that combine LTI filters, sparse derivatives, and wavelets for simultaneous denoising and pattern recognition, demonstrated on sleep EEG.