Abstract
Recently, there has been a burst of work in coding of audio signals. Digital audio signals are typically signals with an analog bandwidth of 20 Hz to 20 kHz and amplitude resolution of 16 bits or more. Digital audio coders are not, for the most part, lossless coders in the information-theoretic sense. In fact they are quite lossy, using knowledge of the human auditory system in order to remove parts of the signal that the human auditory system cannot distinguish. Because they use knowledge of the perception process as their guide for lossy coding, these coders are commonly referred to as “perceptual coders,” and the part of the signal they remove is referred to as “irrelevant.”
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© 1996 Kluwer Academic Publishers
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Johnston, J.D. (1996). Audio Coding with Filter Banks. In: Akansu, A.N., Smith, M.J.T. (eds) Subband and Wavelet Transforms. The Kluwer International Series in Engineering and Computer Science, vol 340. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0483-8_9
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DOI: https://doi.org/10.1007/978-1-4613-0483-8_9
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-7580-0
Online ISBN: 978-1-4613-0483-8
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