Journal ArticleDOI
A Variable Step-Size Affine Projection Algorithm Designed for Acoustic Echo Cancellation
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TLDR
This paper proposes a VSS-APA derived in the context of AEC that aims to recover the near-end signal within the error signal of the adaptive filter and is robust against near- end signal variations (including double-talk).Abstract:
The adaptive algorithms used for acoustic echo cancellation (AEC) have to provide (1) high convergence rates and good tracking capabilities, since the acoustic environments imply very long and time-variant echo paths, and (2) low misadjustment and robustness against background noise variations and double-talk. In this context, the affine projection algorithm (APA) and different versions of it are very attractive choices for AEC. However, an APA with a constant step-size parameter has to compromise between the performance criteria (1) and (2). Therefore, a variable step-size APA (VSS-APA) represents a more reliable solution. In this paper, we propose a VSS-APA derived in the context of AEC. Most of the APAs aim to cancel p (i.e., projection order) previous a posteriori errors at every step of the algorithm. The proposed VSS-APA aims to recover the near-end signal within the error signal of the adaptive filter. Consequently, it is robust against near-end signal variations (including double-talk). This algorithm does not require any a priori information about the acoustic environment, so that it is easy to control in practice. The simulation results indicate the good performance of the proposed algorithm as compared to other members of the APA family.read more
Citations
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Journal ArticleDOI
A Variable Step-Size Matrix Normalized Subband Adaptive Filter
Jingen Ni,Feng Li +1 more
TL;DR: This paper proposes a variable step-size matrix NSAF (VSSM-NSAF) from another point of view, i.e., recovering the powers of theSubband system noises from those of the subband error signals of the adaptive filter, to further improve the performance of the NSAF.
Book
Sparse Adaptive Filters for Echo Cancellation
TL;DR: This book presents the most important sparse adaptive filters developed for echo cancellation and proposes some new solutions for further performance improvement, e.g., variable step-size versions and novel proportionate-type affine projection algorithms.
Journal ArticleDOI
Online Parameter Identification for Model-Based Sensorless Control of Interior Permanent Magnet Synchronous Machine
TL;DR: In this article, an online identification method that can accurately estimate the stator resistance and dq-axis stator inductances for the effective model-based sensorless control of interior permanent magnet synchronous motors (IPMSMs) was proposed.
Journal ArticleDOI
Proportionate Affine Projection Sign Algorithms for Network Echo Cancellation
TL;DR: Two proportionate affine projection sign algorithms for network echo cancellation (NEC) applications where the impulse response is often real-valued with sparse coefficients and long filter length can achieve fast convergence and low steady-state misalignment by adopting a proportionate regularization matrix to the APSA.
Journal ArticleDOI
A Family of Shrinkage Adaptive-Filtering Algorithms
TL;DR: A family of adaptive-filtering algorithms that uses a variable step size that yields a significantly reduced steady-state misalignment and faster convergence as compared to the conventional LMS and variable-step-size LMS algorithms is proposed.
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.
Book
Fundamentals of adaptive filtering
TL;DR: This paper presents a meta-anatomy of Adaptive Filters, a system of filters and algorithms that automates the very labor-intensive and therefore time-heavy and expensive process of designing and implementing these filters.