Design of optimal cascaded multirate filter banks in the presence of quantization

Author

Srinivasan, Sridhar

Author_Institution

Center for Autom. Res., Maryland Univ., College Park, MD, USA

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

617

Abstract

Classical wavelet filter banks are optimized for perfect or near-perfect reconstruction of a signal when the noise-free output of the analysis filter bank is recombined by the synthesis filter bank. Quantization gives rise to noise in the transform domain, affecting the reconstruction. This paper deals with the analysis of transform domain noise in subband systems, and the design of synthesis filters that minimize the output mean square error

Keywords

band-pass filters; cascade networks; circuit optimisation; filtering theory; noise; quantisation (signal); signal reconstruction; signal synthesis; wavelet transforms; analysis filter bank; approximate technique; noise free output; optimal cascaded multirate filter banks; output mean square error minimisation; perfect signal reconstruction; quantization noise; subband systems; synthesis filter bank; synthesis filter design; transform domain noise; wavelet filter banks; Additive noise; Automation; Channel bank filters; Educational institutions; Equations; Filter bank; Filtering theory; Quantization; Signal synthesis; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559572

Filename

559572