Multirate filter banks and transform coding gain

Author

Kok, C.W. ; Nguyen, T.Q.

Author_Institution

Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA

Volume

46

Issue

7

fYear

1998

fDate

7/1/1998 12:00:00 AM

Firstpage

2041

Lastpage

2044

Abstract

An analytical derivation of quantization error in filter banks using additive and signal dependent noise models is presented. The coding gain over PCM is derived for both noise models. Interesting properties of coding gain in optimized filter banks with an AR(1) input signal model, asymptotic performance of multirate systems, and the analytical constraints required to achieve such performance are discussed. Connections to the recent developments of optimal subband systems are presented

Keywords

autoregressive processes; band-pass filters; filtering theory; high-pass filters; noise; pulse code modulation; quantisation (signal); signal reconstruction; transform coding; AR(1) input signal model; PCM; additive noise models; analytical constraints; asymptotic performance; multirate filter banks; optimal subband systems; optimized filter banks; perfect reconstruction filter banks; quantization error; signal dependent noise models; transform coding gain; Additive noise; Channel bank filters; Filter bank; Image coding; Image reconstruction; Phase change materials; Quantization; Shape; Signal analysis; Transform coding;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.700978

Filename

700978