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fast affine projection algorithms for Filtered-x Multichannel Active Noise Control

IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 2008年第8期16卷 1396-1408页

作者： Ferrer, Miguel Gonzalez, Alberto de Diego, Maria Pinero, Gema Univ Politecn Valencia Inst Telecommun & Multimedia Applicat iTEAM Audio & Commun Signal Proc Grp GTAC Valencia 46022 Spain

In recent years, affine projection algorithms have been proposed for adaptive system applications as an efficient alternative to the slow convergence speed of least mean square (LMS)-type algorithms. Whereas much attention has been focused on the development of efficient versions of affine projection algorithms for echo cancellation applications, the similar adaptive problem presented by active noise control (ANC) systems has not been studied so deeply. This paper is focused on the necessity to reduce even more the computational complexity of affine projection algorithms for real-time ANC applications. We present some alternative efficient versions of existing affine projection algorithms that do not significantly degrade performance in practice. Furthermore, while in the ANC context the commonly used affine projection algorithm is based on the modified filtered-x structure, an efficient affine projection algorithm based on the (nonmodified) conventional filtered-x structure, as well as efficient methods to reduce its computational burden, are discussed throughout this paper. Although the modified filtered-x scheme exhibits better convergence speed than the conventional filtered-x structure and allows recovery of all the signals needed in the affine projection algorithm for ANC, the conventional filtered-x scheme provides a significant computational saving, avoiding the additional filtering needed by the modified filtered-x structure. In this paper, it is shown that the proposed efficient versions of affine projection algorithms based on the conventional filtered-x structure show good performance, comparable to the performance exhibited by the efficient approaches of modified filtered-x affine projection algorithms, and also achieve meaningful computational savings. Experimental results are presented to validate the use of the algorithms introduced in the paper for practical applications.

关键词： Active noise control adaptive systems affine projection algorithms fast affine projection algorithms filtered-x structure multidimensional signal processing

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Multichannel affine and fast affine projection algorithms for active noise control and acoustic equalization systems

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IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING 2003年第1期11卷 54-60页

作者： Bouchard, M Univ Ottawa Sch Informat Technol & Engn Ottawa ON K1N 6N5 Canada

In the field of adaptive signal processing, it is well known that affine projection algorithms or their low-computational implementations fast affine projection algorithms can produce a good tradeoff between convergence speed and computational complexity. Although these algorithms typically do not provide the same convergence speed as recursive-least-squares algorithms, they can provide a much improved convergence speed compared to stochastic gradient descent algorithms, without the high increase of the computational load or the instability often found in recursive-least-squares algorithms. In this paper, multichannel affine and fast affine projection algorithms are introduced for active noise control or acoustic equalization. Multichannel fast affine projection algorithms have been previously published for acoustic echo cancellation, but the problem of active noise control or acoustic equalization is a very different one, leading to different structures, as explained in the paper. The computational complexity of the new algorithms is evaluated, and it is shown through simulations that not only can the new algorithms provide the expected tradeoff between convergence performance and computational complexity, they can also provide the best convergence performance (even over recursive-least-squares algorithms) when nonideal noisy acoustic plant models are used in the adaptive systems.

关键词： acoustic equalization active noise control fast affine projection algorithms multichannel adaptive filtering sound reproduction

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fast affine projection algorithms for Simplified Structure of Multichannel Active Noise Control

Fast Affine Projection Algorithms for Simplified Structure o...

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2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

作者： Jiaming Liu Binwen Fan Fuchen Ding School of Electronic and Information Engineering Harbin Institute of Technology

ISBN: (纸本)9781510871076

This article focuses on the application of AP algorithms in active noise control *** active noise control system is a real-time tracking noise signal,which is then cancelled with an opposite signal to achieve noise ***,the active noise control system requires high real-time *** a multi-channel active noise system,a large amount of calculation is a key factor that causes the real-time performance of the system to *** paper simplifies the system structure based on the existing fast AP algorithm,further reduces the system overhead and achieves the purpose of improving real-time *** through the DSP chip,an experimental platform for the active noise control system was built,and the proposed algorithm was validated for practical results.

关键词： Active noise control affine projection algorithms fast affine projection algorithms ANC structure

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The Gauss-Seidel fast affine projection algorithm for multichannel active noise control and sound reproduction systems

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INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING 2005年第2-3期19卷 107-123页

作者： Bouchard, M Albu, F Univ Ottawa Sch Informat Technol & Engn Ottawa ON K1N 6N5 Canada Univ Politehn Bucuresti Fac Elect & Telecommun Bucharest Romania

In the field of adaptive filtering, the fast implementations of affine projection algorithms are known to provide a good tradeoff between convergence speed and computational complexity. Such algorithms have recently been published for multichannel active noise control systems. Previous work reported that these algorithms can outperform more complex recursive least-squares algorithms when noisy plant models are used in active noise control systems. This paper proposes a new fast affine projection algorithm for multichannel active noise control or sound reproduction systems, based on the Gauss-Seidel solving scheme. The proposed algorithm has a lower complexity than the previously published algorithms, with the same convergence speed and the same good performance, with noisy plant models, and a potential for better numerical stability. It provides the best performance/cost ratio. Details of the algorithm and its complexity are presented in the paper, with simulation results to validate its performance. Copyright (c) 2004 John Wiley & Sons, Ltd.

关键词： multichannel active noise control adaptive filtering fast affine projection algorithms

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Pseudo-affine projection algorithm's for multichannel active noise control

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IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 2007年第3期15卷 1044-1052页

作者： Albu, Felix Bouchard, Martin Zakharov, Yuriy Fotonat Romania SRL Bucharest Romania Univ Politehn Bucuresti Fac Elect Telecommun & Informat Technol Bucharest Romania Univ Ottawa Sch Informat Technol & Engn Ottawa ON K1N 6N5 Canada Univ York Dept Elect York YO10 5DD N Yorkshire England

For feedforward multichannel active noise control (ANC) systems, the use of adaptive finite-impulse response (FIR) filters is a popular solution, and the multichannel filtered-x least-mean-square (FX-LMS) algorithm is the most commonly used algorithm. The drawback of the FX-LMS is the slow convergence speed, especially for broadband multichannel systems. Recently, some fast affine projection algorithms have been introduced for multichannel ANC, as an interesting alternative to the FX-LMS algorithm. They can provide a significantly improved convergence speed at a reasonable additional computational cost. Yet, the additional computational cost or the potential numerical instability in some of the recently proposed algorithms can prevent the use of those algorithms for some applications. In this paper, we propose two pseudo-affine projection algorithms for multichannel ANC: one based on the Gauss-Seidel method and one based on dichotomous coordinate descent (DCD) iterations. It is shown that the proposed algorithms typically have a lower complexity than the previously published fast affine projection algorithms for ANC, with very similar good convergence properties and good numerical stability. Thus, the proposed algorithms are an interesting alternative to the standard FX-LMS algorithm for ANC, providing an improved performance for a computational load of the same order.

关键词： adaptive filtering dichotomous coordinate descent fast affine projection algorithms Gauss-Seidel solving scheme multichannel active noise control

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