Bit rates in audio source coding

Author

Veldhuis, Raymond N J

Author_Institution

Philips Res. Lab., Eindhoven, Netherlands

Volume

10

Issue

1

fYear

1992

fDate

1/1/1992 12:00:00 AM

Firstpage

86

Lastpage

96

Abstract

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

Keywords

audio signals; encoding; magnetic recording; audio coding systems; audio signals; audio source coding; audio spectrum; bit rate reduction; excitation pattern models; inaudible coding errors; magnetic recording; masked error spectrum; masking; optimization problem; performance bounds; psychoacoustic models; quantization noise; rate distortion theory; subband coding system; transmission; waveform coding; Additive noise; Bit rate; Density functional theory; Ear; Frequency estimation; Humans; Masking threshold; Quantization; Rate distortion theory; Source coding;

fLanguage

English

Journal_Title

Selected Areas in Communications, IEEE Journal on

Publisher

ieee

ISSN

0733-8716

Type

jour

DOI

10.1109/49.124472

Filename

124472