Fast estimation of optimal sparseness of music signals

Authors:
Anders la Cour-Harbo
Affiliations:
Aalborg University, Department of Control Engineering, Aalborg East, Denmark
Venue:
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Year:
2006

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Abstract

We want to use a variety of sparseness measured applied to 'the minimal l1 norm representation' of a music signal in an over-complete dictionary as features for automatic classification of music. Unfortunately, the process of computing the optimal l1 norm representation is rather slow, and we therefore investigate the use of matching pursuit, alternating projection, and Moore-Penrose inverse for estimating the result of applying two different sparseness measures to 'the minimal l1 norm representation' without actually computing this representation.