Journal ArticleDOI
Optimal variable step size for the LMS/Newton algorithm with application to subband adaptive filtering
TLDR
An efficient approach for the computation of the optimum convergence factor for the LMS (least mean square)/Newton algorithm applied to a transversal FIR structure is proposed, resulting in a dramatic reduction in convergence time.Abstract:
An efficient approach for the computation of the optimum convergence factor for the LMS (least mean square)/Newton algorithm applied to a transversal FIR structure is proposed. The approach leads to a variable step size algorithm that results in a dramatic reduction in convergence time. The algorithm is evaluated in system identification applications where two alternative implementations of the adaptive filter are considered: the conventional transversal FIR realization and adaptive filtering in subbands. >read more
Citations
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Book
Adaptive Filtering: Algorithms and Practical Implementation
TL;DR: Adaptive Filtering: Algorithms and Practical Implementation may be used as the principle text for courses on the subject, and serves as an excellent reference for professional engineers and researchers in the field.
Journal ArticleDOI
Adaptive detection for DS-CDMA
Graeme Woodward,Branka Vucetic +1 more
TL;DR: A review of adaptive detection techniques for direct-sequence code division multiple access (CDMA) signals is given, to improve CDMA system performance and capacity by reducing interference between users.
Journal ArticleDOI
Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach
TL;DR: A novel fractional adaptive learning approach that utilizes fractional calculus is presented and a fractional steepest descent approach is proposed.
Journal ArticleDOI
Analysis of LMS-Newton adaptive filtering algorithms with variable convergence factor
TL;DR: An analysis of two LMS-Newton adaptive filtering algorithms with variable convergence factor with closed-form formulas for the excess mean-square error (MSE) derived from the effects of roundoff errors for the case of fixed-point arithmetic.
Journal ArticleDOI
A new quasi-Newton adaptive filtering algorithm
TL;DR: A new algorithm for FIR adaptive filters based on the quasi-Newton class of optimization algorithms is described, demonstrating the stability of the algorithm, boundedness and positive definiteness of the estimated autocorrelation matrix of the input signal.
References
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Book
Adaptive Filter Theory
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Book
Adaptive Signal Processing
Bernard Widrow,Samuel D. Stearns +1 more
TL;DR: This chapter discusses Adaptive Arrays and Adaptive Beamforming, as well as other Adaptive Algorithms and Structures, and discusses the Z-Transform in Adaptive Signal Processing.
Journal ArticleDOI
Exact reconstruction techniques for tree-structured subband coders
TL;DR: It is shown that it is possible to design tree-structured analysis/reconstruction systems which meet the sampling rate condition and which result in exact reconstruction of the input signal.
Journal ArticleDOI
Adaptive filtering in subbands with critical sampling: analysis, experiments, and application to acoustic echo cancellation
A. Gilloire,Martin Vetterli +1 more
TL;DR: In this article, an exact analysis of the critically subsampled two-band modelization scheme is given, and it is demonstrated that adaptive cross-filters between the subbands are necessary for modelization with small output errors.