Pairwise Optimal Weight Realization-Acceleration Technique for Set-Theoretic Adaptive Parallel Subgradient Projection Algorithm

The adaptive parallel subgradient projection (PSP) algorithm was proposed in 2002 as a set-theoretic adaptive filtering algorithm providing fast and stable convergence, robustness against noise, and low computational complexity by using weighted parallel projections onto multiple time-varying closed...

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Vydané v:	IEEE transactions on signal processing Ročník 54; číslo 12; s. 4557 - 4571
Hlavní autori:	Yukawa, M., Yamada, I.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.12.2006 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Acceleration Adaptive algorithms Adaptive filters Adaptive parallel subgradient projection Algorithms Applied sciences Computational complexity Convergence Detection, estimation, filtering, equalization, prediction Exact sciences and technology Filtering algorithms Half spaces Information, signal and communications theory Least squares methods Mathematical analysis Mathematical models optimal weight design Optimization Projection Projection algorithms Resonance light scattering set-theoretic adaptive filtering Signal and communications theory Signal processing algorithms Signal, noise Studies Telecommunications and information theory Transversal filters Parallel algorithm optimal weight design Adaptive algorithm Adaptive filtering Parallel architectures Affine transformation Recursive algorithm Computational complexity Half space Time variation Adaptive parallel subgradient projection set-theoretic adaptive filtering Optimal design Fast filter Weighting Least squares method Transverse filter Convergence rate Noise immunity Numerical simulation Set theory Fast algorithm Newton method
ISSN:	1053-587X, 1941-0476
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