DocumentCode
1389314
Title
Synthesis and performance of a new class of implementation for high-order recursive digital filters
Author
Price, M. ; Waters, M. ; Sandler, M.
Author_Institution
BBC Res., UK
Volume
145
Issue
2
fYear
1998
fDate
4/1/1998 12:00:00 AM
Firstpage
73
Lastpage
81
Abstract
The authors investigate a new class of approaches to the synthesis of high-order recursive digital filters. These are all characterised by partitioning the overall filter into a set of parallel subfilters, each of which is of moderate order. The subfilters may be any of the classical implementations: direct form, parallel, cascade or lattice. The authors investigate cascade and lattice implementation of the subfilters. The investigation includes selection of the number of subfilters to use, how to derive their coefficients and theoretical noise calculations. This is supported by simulation testing of a variety of real and synthetic filters using maximal length binary sequences (MLS) as input as this provides information on both the linear and nonlinear errors involved. It is found that particularly when filter order is 50 or more, the new structures have reduced quantisation noise and improved tolerance to quantisation than their classical counterparts
Keywords
binary sequences; cascade networks; digital simulation; lattice filters; network synthesis; noise; quantisation (signal); recursive filters; transfer functions; cascade subfilters; coefficients; direct form implementation; filter order; filter synthesis; high-order recursive digital filters; lattice subfilters; linear errors; maximal length binary sequences; noise calculations; nonlinear errors; parallel subfilters; quantisation noise; quantisation tolerance; simulation testing; synthetic filters; transfer function;
fLanguage
English
Journal_Title
Vision, Image and Signal Processing, IEE Proceedings -
Publisher
iet
ISSN
1350-245X
Type
jour
DOI
10.1049/ip-vis:19981827
Filename
682150
Link To Document