Paper Info
Title
Convergence Analysis of Adaptive Filters Using Normalized Sign-Sign Algorithm
Abstract
This letter develops convergence analysis of normalized sign-sign algorithm (NSSA) for FIR-type adaptive filters, based on an assumption that filter tap weights are Gaussian distributed. We derive a set of difference equations for theoretically calculating transient behavior of filter convergence, when the filter input is a White & Gaussian process. For a colored Gaussian input and a large number of tap weights, approximate difference equations are also proposed. Experiment with simulations and theoretical calculations of filter convergence demonstrates good agreement between simulations and theory, proving the validity of the analysis.
Year
DOI
Venue
2005
10.1093/ietfec/e88-a.11.3218
IEICE Transactions
Keywords
Field
DocType
difference equation,gaussian process,approximate difference equation,fir-type adaptive filter,filter convergence,convergence analysis,large number,gaussian input,normalized sign-sign algorithm,good agreement,filter input,adaptive filter
Gaussian filter,Convergence (routing),Normalization (statistics),Algorithm,Theoretical computer science,Gaussian,Gaussian process,Kernel adaptive filter,Adaptive filter,Mathematics,Filter design
Journal
Volume
Issue
ISSN
E88-A
11
0916-8508
Citations 
PageRank 
References 
7
0.49
0
Authors
1
Name
Order
Citations
PageRank
Shin'ichi Koike1174.93