Journal ArticleDOI
Adaptive nonlinear recursive state-space filters
F.X.Y. Gao,W.M. Snelgrove +1 more
TLDR
In this article, a nonlinear state-space structure for adaptive nonlinear filters is proposed, where the adaptive filters are recursive and thus generally have an infinite impulse response (IIR).Abstract:
Adaptive nonlinear filters previously reported often employ truncated Volterra series and have a finite impulse response (FIR). This paper introduces a nonlinear state-space structure for adaptive nonlinear filters. The adaptive filters are recursive and thus generally have an infinite impulse response (IIR). They are expected to be useful for many applications and are especially attractive for those with long memories where adaptive nonlinear FIR filters are too expensive to use. Efficient methods, which significantly reduce computation for gradients, have been developed to facilitate further their application in real-time signal processing. Numerical simulations have been performed to demonstrate the properties of the proposed algorithms. >read more
Citations
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Journal ArticleDOI
Principal component analysis
TL;DR: The paper focuses on the use of principal component analysis in typical chemometric areas but the results are generally applicable.
Journal ArticleDOI
Total least mean squares algorithm
TL;DR: The paper gives the statistical analysis for this algorithm, studies the global asymptotic convergence ofThis algorithm by an equivalent energy function, and evaluates the performances of this algorithm via computer simulations.
Proceedings ArticleDOI
Limitations of handsfree acoustic echo cancellers due to nonlinear loudspeaker distortion and enclosure vibration effects
A.N. Birkett,Rafik Goubran +1 more
TL;DR: In this article, the effect of the loudspeaker nonlinearity and enclosure vibration has on the steady state ERLE performance and concludes that enclosure vibration is an important limitation which, although rarely mentioned in literature, is probably the major limitation in terms of sound quality.
Journal ArticleDOI
Consistent normalized least mean square filtering with noisy data matrix
SungEun Jo,Sang Woo Kim +1 more
TL;DR: A consistent LMS-type algorithm is proposed for the data least square estimation problem, based on the geometry of the mean squared error (MSE) function, rendering the step-size normalization and the heuristic filtered estimation of the noise variance, respectively, for fast convergence and robustness to stochastic noise.
Proceedings ArticleDOI
Acoustic echo cancellation using NLMS-neural network structures
A.N. Birkett,Rafik Goubran +1 more
TL;DR: Two new acoustic echo canceller models are developed to improve nonlinear performance and demonstrate that both neural network based structures improve the echo return loss enhancement (ERLE) performance compared to a linear NLMS acoustic echo canceer.
References
More filters
Journal ArticleDOI
Second-order Volterra filtering and its application to nonlinear system identification
Taiho Koh,E. Powers +1 more
TL;DR: The utility of the Volterra filter is demonstrated by utilizing it in studies of nonlinear drift oscillations of moored vessels subject to random sea waves.
Journal ArticleDOI
Nonlinear Echo Cancellation of Data Signals
TL;DR: Numerical results based on computer simulation are given which show that typical nonlinearities encountered in MOS D/A converters can be compensated by a relatively small number of taps added to the linear echo canceller, and substantial improvement in the cancellation results.
Journal ArticleDOI
Adaptive IIR filtering: Current results and open issues
TL;DR: A tutorial-style framework is presented for understanding the current status of adaptive infinite-impulse-response (IIR) filters and the structures of provable convergent adaptive algorithms are derived.
Journal ArticleDOI
Adaptive Cancellation of Nonlinear Intersymbol Interference for Voiceband Data Transmission
TL;DR: Two related cancellation techniques based on "tentative" decisions are proposed for removing intersymbol interference, due to channel nonlinearities, for voiceband data transmission, and can offer substantial performance improvements for 16-point QAM systems.
Journal ArticleDOI
Adaptive equalization of channel nonlinearities in QAM data transmission systems
TL;DR: An investigation of a QAM receiver incorporating adaptive equalization of nonlinearities as well as adaptive decision feedback equalization and data-aided carrier recovery for mitigation of linear distortion and phase jitter, respectively is reported on.