Title :
An iterated rational filter bank for audio coding
Author_Institution :
CNET PAB/STC/SGV, France Telecom, Issy-les-Moulineaux, France
Abstract :
This paper proposes a regular third-of-an-octave filter bank for high fidelity audio coding. The originality here is twofold: first, the filter bank is an iterated orthonormal rational filter bank for which the generating filters have been designed so that its outputs closely approximate a wavelet transform. This is different from the known coding algorithms which all use an integer filter bank, and most often a uniform one; second, the masking procedure itself is modelized with the help of a wavelet transform unlike the classical procedure in which a short time spectrum is computed and which gives rise to unwanted preecho effects. The masking procedure is then made equivalent to a quantization procedure. A simple non-optimized algorithm has been worked out in order to show the benefits of such a structure, especially in terms of preecho (which is perceptually inaudible), and the disadvantages, especially as far as delay is concerned
Keywords :
audio coding; data compression; high-pass filters; iterative methods; low-pass filters; transform coding; wavelet transforms; audio coding; delay; generating filters; high fidelity audio coding; iterated orthonormal rational filter bank; iterated rational filter bank; masking procedure; preecho; quantization procedure; regular third-of-an-octave filter bank; simple nonoptimized algorithm; wavelet transform; Algorithm design and analysis; Audio coding; Discrete transforms; Discrete wavelet transforms; Ear; Filter bank; Finite impulse response filter; Frequency; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Paris
Print_ISBN :
0-7803-3512-0
DOI :
10.1109/TFSA.1996.546691