Bit Rates in Audio Source Coding

The goal is to introduce and solve the audio coding optimization problem. Psychoacoustic results such as masking and excitation pattern models are combined with results from rate distortion theory to formulate the audio coding optimization problem. The solution of the audio optimization problem is a masked error spectrum, prescribing how quantization noise must be distributed over the audio spectrum to obtain a minimal bit rate and an inaudible coding errors. This result cannot only be used to estimate performance bounds, but can also be directly applied in audio coding systems. Subband coding applications to magnetic recording and transmission are discussed in some detail. Performance bounds for this type of subband coding system are derived. >

[1]  Günther Theile,et al.  Low-Bit Rate Coding of High Quality Audio Signals , 1987 .

[2]  Someshwar C. Gupta,et al.  Multirate digital filters , 1979 .

[3]  David J. Sakrison.  Addendum to 'The Rate Distortion Function of a Gaussian Process with a weighted-square Error Criterion' , 1969, IEEE Trans. Inf. Theory.

[4]  H. G. Musmann.  The ISO audio coding standard , 1990, [Proceedings] GLOBECOM '90: IEEE Global Telecommunications Conference and Exhibition.

[5]  Joseph Rothweiler,et al.  Polyphase quadrature filters-A new subband coding technique , 1983, ICASSP.

[6]  R. Hellman.  Asymmetry of masking between noise and tone , 1972 .

[7]  P. Chu.  Quadrature mirror filter design for an arbitrary number of equal bandwidth channels , 1985, IEEE Trans. Acoust. Speech Signal Process..

[8]  L. Humes,et al.  Models of the additivity of masking. , 1989, The Journal of the Acoustical Society of America.

[9]  Fons A. M. L. Bruekers,et al.  New Networks for Perfect Inversion and Perfect Reconstruction , 1992, IEEE J. Sel. Areas Commun..

[10]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[11]  Marcel Breeuwer,et al.  Subband coding of digital audio signals , 1989 .

[12]  James D. Johnston,et al.  Transform coding of audio signals using perceptual noise criteria , 1988, IEEE J. Sel. Areas Commun..

[13]  K. H. Barratt.  Digital Coding of Waveforms , 1985 .

[14]  Karlheinz Brandenburg,et al.  High Quality Sound Coding at 2.5 Bit/Sample , 1988 .

[15]  P. P. Vaidyanathan,et al.  Multirate digital filters, filter banks, polyphase networks, and applications: a tutorial , 1990, Proc. IEEE.

[16]  G. Longo.  Source Coding Theory , 1970 .

[17]  So,et al.  An excitation‐pattern model for intensity discrimination , 1981 .

[18]  G. Stoll,et al.  High quality audio bit-rate reduction system family for different applications , 1990, IEEE International Conference on Communications, Including Supercomm Technical Sessions.

[19]  W. M. Carey,et al.  Digital spectral analysis: with applications , 1986 .

[20]  Peter No,et al.  Digital Coding of Waveforms , 1986 .