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Compression of High-Quality Audio Signals, Including Recent Methods Using Wavelet Packets

Abstract Sablatash, M., and Cooklev, T., Compression of High-Quality Audio Signals, Including Recent Methods Using Wavelet Packets, Digital Signal Processing 6 (1996), 96–107. Reasons for the importance of compression of high-quality audio are advanced. Audio signal analog-to-digital conversion is summarized. Human perception and auditory modeling are briefly discussed. Signal quantization and block processing are concisely presented. Adaptive transform coding, subband coding, and time domain aliasing cancellation are succinctly reviewed. Advanced physical modeling compression methods, perceptually based algorithms, and MUSICAM are compactly described. Several recent proposals are discussed, and the most promising and effective of these, based on adaptive wavelet packets, is described. Performances of many of the techniques are given to provide comparisons. Research directions to enable improvement of the present state of the art are provided. It is to be noted that approaches employing adapted wavelet packets show particularly outstanding promise.