Title :
Audio decoding with frequency and complexity scalability
Author :
Argenti, F. ; Del Taglia, F. ; Del Re, E.
Author_Institution :
Dept. of Electron. & Telecommun., Univ. of Florence, Italy
fDate :
6/1/2002 12:00:00 AM
Abstract :
The paper describes a technique to design a complexity-scalable audio codec based on the partial reconstruction of the spectrum of a signal. The technique can be applied to any subband coding system based on cosine-modulated filterbanks. In the decoder, only a part of the subband is reconstructed, achieving an output signal with a lower sampling rate. The new synthesis filterbank, with a reduced number of channels and low computational cost, must be suitably designed. Hence, a computational saving is traded for lower quality in the reconstructed signal. The technique can be used to design low-complexity decoders compatible with the MPEG audio standard, i.e. able to decode only a part of an MPEG bit stream. In this way, a single MPEG-coded audio can be decoded by different receivers, i.e. standard and low-complexity ones. The problem of having fixed bit rate streams for all the decoders is discussed.
Keywords :
audio coding; channel bank filters; code standards; codecs; decoding; filtering theory; signal reconstruction; telecommunication standards; MPEG audio standard; MPEG bit stream; MPEG-coded audio; audio decoding; complexity scalability; complexity-scalable audio codec; computational saving; cosine-modulated filterbanks; decoder; fixed bit rate streams; frequency scalability; low computational cost; low-complexity decoders; output signal sampling rate; partial signal spectrum reconstruction; subband coding system; synthesis filterbank;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:20020385