Paper Info
Title
Normalized correlation-newton algorithm with variable control of q-norm.
Abstract
This paper proposes a new adaptation algorithm named normalized correlation-Newton (NC-Newton) algorithm and a novel variable q-norm control method (NC-Newton-Varq-norm) for complex-domain adaptive filters. First, stochastic models are presented for two types of impulse noise intruding adaptive filters: one is present in observation noise and another at filter input. After reviewing q-norm and NC-Newton algorithm, we propose a variable q-norm control method. Analysis of the NC-Newton-Varq-norm algorithm is developed for theoretically calculating transient and steady-state convergence behavior. Through experiment with some examples, we demonstrate effectiveness of the proposed variable q-norm control method in improving filter convergence speed while preserving robustness of the NC-Newton algorithm in impulsive noise environments. Good agreement between simulated and theoretical convergence behavior validates the analysis.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638745
ICASSP
Keywords
Field
DocType
Newton method,adaptive filters,convergence,correlation methods,impulse noise,NC-Newton algorithm,NC-Newton-Varq-norm algorithm,adaptation algorithm,complex-domain adaptive filters,filter convergence speed,impulse noise,impulsive noise environments,normalized correlation-Newton algorithm,observation noise,robustness,steady-state convergence behavior,stochastic models,transient convergence behavior,variable control,variable q-norm control method,Adaptive filter,Newton's method,impulse noise,normalized correlation,variable q-norm control
Convergence (routing),Mathematical optimization,Normalization (statistics),Computer science,Control theory,Normalized correlation,Algorithm,Robustness (computer science),Stochastic modelling,Impulse noise,Adaptive filter,Newton's method
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
15
1
Name
Order
Citations
PageRank
Shin'ichi Koike1174.93