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.
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