Title :
On psychoacoustic noise shaping for audio requantization
Author :
De Koning, Dreten ; Verhelst, Werner
Author_Institution :
Dept. ETRO-DSSP, Vrije Univ., Brussels, Belgium
Abstract :
Signal requantization to reduce the word-length of an audio stream introduces distortions. Noise shaping can be applied in combination with a psychoacoustic model in order to make requantization distortions minimally audible. The psychoacoustically optimal noise shaping curve depends on the time-varying characteristics of the input signal. Therefore, the noise shaping filter coefficients are to be computed and updated on a regular basis. In this paper, we present a least squares theory for optimal noise shaping of audio signals. It provides a shorter and more straightforward proof of known properties, and in contrast with the standard theory, it does show how noise shaping filters that attain the theoretical optimum can be designed in practice.
Keywords :
FIR filters; audio signal processing; distortion; least squares approximations; optimisation; quantisation (signal); time-varying systems; audio requantization; audio signals; audio stream word-length; distortions; least squares theory; noise shaping filter coefficients; optimal noise shaping curve; psychoacoustic model; psychoacoustic noise shaping; signal requantization; time-varying signal; Acoustic noise; Audio systems; Feedback; Filtering theory; Filters; Least squares methods; Noise shaping; Nonlinear distortion; Psychoacoustic models; Psychology;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1200004