In this paper we present an overview of complex wavelets, and discuss their application to audio signal processing. While traditional audio processing has involved time-frequency rather than time-scale representations, we demonstrate some of the advantages to be gained through the use of complex wavelets. We focus on two main applications of interest to the audio community: noise reduction and signal compression.

Authors: Wolfe, Patrick J.; Godsill, Simon J.
Affiliation: Department of Electronic Engineering, University of Cambridge, Cambridge, UK
AES Convention: 114 (March 2003) Paper Number: 5829
Publication Date: March 1, 2003 Import into BibTeX
Subject: Signal Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=12603

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