Real-time implementation of a psychoacoustically motivated wavelet packet-based monophonic full-duplex audio coder using the developed a dynamic algorithm transforms approach are proposed. The principle behind approach is to define parameter of input audio signals (subband entropy) and output encoded sequences (subband rate) for the given embedded processor architecture. Adaptive wavelet analysis for audio signal coding purposes is particularly interesting if the psychoacoustic information is considered in the WP decomposition scale. The advantages of this approach are better viewed by considering the wavelet packet pruning as a splitting process, i.e. the temporal construction WP tree created for each signal frame presents an ideal decision for real time processing implemented in a reconfigurable hardware.

Authors: Petrovsky, Alexey; Krahe, Detlef; Petrovsky, A. A.
Affiliations: Computer Engineering Department, Belarusian State University of Informatics and Radioelectronics, Minsk, Republic of Belarus ; Electrical Engineering Department, Wuppertal Technical University, Wuppertal, Germany ; Real-Time Systems Department, Technical University Bialystok, Bialystok,Republic of Poland(See document for exact affiliation information.)
AES Convention: 114 (March 2003) Paper Number: 5778
Publication Date: March 1, 2003 Import into BibTeX
Subject: Signal Processing for Audio
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=12517

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