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.
Detection of K-complexes and sleep spindles (detoks) using sparse optimization
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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.