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Sinusoidal modeling using psychoacoustic-adaptive matching pursuits
KTH, Superseded Departments, Signals, Sensors and Systems.
2002 (English)In: IEEE Signal Processing Letters, ISSN 1070-9908, E-ISSN 1558-2361, Vol. 9, no 8, 262-265 p.Article in journal (Refereed) Published
Abstract [en]

In this letter, we propose a segment-based matching-pursuit algorithm where the psychoacoustical properties of the human auditory system are taken into account. Rather than scaling the dictionary elements according to auditory perception, we define a psychoacoustic-adaptive norm on the signal space that can be used for assigning the dictionary elements to the individual segments in a rate-distortion optimal way. The new algorithm is asymptotically equal to signal-to-mask-ratio-based algorithms in the limit of infinite-analysis window length. However, the new algorithm provides a significantly improved selection of the dictionary elements for finite window length.

Place, publisher, year, edition, pages
2002. Vol. 9, no 8, 262-265 p.
Keyword [en]
audio/speech coding, matching pursuit, psychoacoustics, sinusoidal modeling
Identifiers
URN: urn:nbn:se:kth:diva-21920DOI: 10.1109/lsp.2002.802999ISI: 000178228000011OAI: oai:DiVA.org:kth-21920DiVA: diva2:340618
Note
QC 20100525Available from: 2010-08-10 Created: 2010-08-10 Last updated: 2017-12-12Bibliographically approved

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