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.
Sparsity-assisted signal smoothing (r evisited)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.