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New multichannel modified filtered‐x algorithms for active noise control using the dichotomous coordinate descent method

Felix Albu, Constantin Paleologu
2008 Journal of the Acoustical Society of America  
This multiplier-less and division-less method is used for avoiding the matrix inversion that appears in adaptive algorithms such us recursive least square (RLS) based algorithms, affine projection (AP)  ...  Acoustics 08 Paris 5723 In this paper, several multichannel modified filtered-x algorithms for active noise control systems using the dichotomous coordinate descent method (DCD) are introduced.  ...  For ANC using adaptive FIR filters, the multi-channel filtered-x least-mean-square (FX-LMS) algorithm [1] , [2] is the most commonly used algorithm.  ... 
doi:10.1121/1.2935769 fatcat:t4vgkxhbzjhexahhcpzendpny4

Square-Root Form Based Derivation Of A Novel Nlms-Like Adaptive Filtering Algorithm

Mounir Bhouri
2005 Zenodo  
The Recursive Least Squares (RLS) adaptive algorithm is the other well known algorithm, it is more complex but it can yield a very fast convergence.  ...  These rotations based algorithms are a very interesting alternative to standard form recursive least squares and the issued fast versions (e.g. FTF).  ... 
doi:10.5281/zenodo.39160 fatcat:jupj7e4uf5bhtjfxojntvoouti

A highly modular adaptive lattice algorithm for multichannel least squares filtering

George-Othon Glentis, Nicholas Kalouptsidis
1995 Signal Processing  
In this paper a highly modular adaptive lattice algorithm for multichannel least squares FIR filtering and multivariable system identification is presented.  ...  The main features of the proposed multichannel adaptive lattice least squares algorithm is the use of scalar only operations, multiplications/divisions and additions, and the local communication which  ...  Conclusion A highly efficient adaptive lattice algorithm for least squares multichannel FIR filtering has been developed.  ... 
doi:10.1016/0165-1684(95)00071-k fatcat:dcx65gum2jc6ldq6pbiocwmzse

Generalized multichannel frequency-domain adaptive filtering: efficient realization and application to hands-free speech communication

Herbert Buchner, Jacob Benesty, Walter Kellermann
2005 Signal Processing  
Here, we present a new rigorous derivation of a whole class of multichannel adaptive filtering algorithms in the frequency domain based on a recursive least-squares criterion.  ...  The computational complexity is kept low by introducing several new techniques, such as a robust recursive Kalman gain computation in the frequency domain and efficient fast Fourier transform (FFT) computation  ...  Herbordt of the telecommunications institute, University of Erlangen-Nuremberg, for fruitful discussions on adaptive beamforming.  ... 
doi:10.1016/j.sigpro.2004.07.029 fatcat:cuquy5l5i5e6bj4ajunfvortti

Multi-Channel Frequency-Domain Adaptive Filtering [chapter]

Jacob Benesty, Dennis R. Morgan
2000 Acoustic Signal Processing for Telecommunication  
Here, we present a new rigorous derivation of a whole class of multichannel adaptive filtering algorithms in the frequency domain based on a recursive least-squares criterion.  ...  techniques, such as a robust recursive Kalman gain computation in the frequency domain and efficient fast Fourier transform (FFT) computation tailored to overlapping data blocks.  ...  One class includes filters that are updated in the time domain, usually on a sampleby-sample basis, like the classical least-mean-square (LMS) [4] and recursive least-squares (RLS) [5] algorithms.  ... 
doi:10.1007/978-1-4419-8644-3_7 fatcat:u6jv5klfxfb3hn2abua62dxw6y

Efficient Implementation Of The Affine Projection Algorithm For Active Noise Control Applications

Miguel A. Ferrer, María De Diego, Alberto Gonzalez, Gema Piñero
2004 Zenodo  
Recursive methods like the sliding window Fast Recursive Least Squares (FRLS), the sliding window Fast Transversal Filters (FTF), and the sliding window RLS [7] have been applied in fast versions of  ...  matrix, but in case of a large length of the adaptive filters is a very useful tool to improve computational saving.  ... 
doi:10.5281/zenodo.38615 fatcat:yktlzcyyjbezjfswxqviobjqaa

Multichannel fast QRD-LS adaptive filtering: new technique and algorithms

A.A. Rontogiannis, S. Theodoridis
1998 IEEE Transactions on Signal Processing  
In this paper, a direct, unified approach for deriving fast multichannel QR decompostion (QRD) least squares (LS) adaptive algorithms is introduced.  ...  A modification of the algorithm leads to a scheme that can be implemented on a very regular systolic architecture.  ...  Multichannel Fast QRD-LS Adaptive Filtering: New Technique and Algorithms Athanasios A.  ... 
doi:10.1109/78.726801 fatcat:4n3xbh2fufhyxlv6bos6yxh6lq

Performance Analysis of Multichannel Lattice Equalization in Coherent Underwater Communications

Joao Gomes, Antonio Silva, Sergio Jesus
2007 OCEANS 2007  
This work examines the numerical fixed-point performance of a new multichannel lattice RLS filtering algorithm using data from two underwater acoustic communication experiments.  ...  The algorithm may be an appealing choice for underwater equalization due to its robust numerical behavior and linear scaling of the computational complexity with filter order.  ...  Attaining fast convergence and tracking with high filter orders requires efficient adaptive algorithms such as recursive least-squares (RLS) or adaptive step-size least-mean-squares (SLMS) [1] .  ... 
doi:10.1109/oceans.2007.4449374 fatcat:jaojgu7py5adxnpxtn6bqmfo2y

Page 6015 of Mathematical Reviews Vol. , Issue 2001H [page]

2001 Mathematical Reviews  
(GR-ATHN-E; Athens) A new multichannel recursive least squares algorithm for very robust and efficient adaptive filtering. (English summary) J. Algorithms 37 (2000), no. 2, 283-308.  ...  The paper introduces a new multichannel recursive least square adaptive algorithm.  ... 

Array-Based QR-RLS Multichannel Lattice Filtering

JoÃo Gomes, Victor A. N. Barroso
2008 IEEE Transactions on Signal Processing  
Individual units are updated using a square-root recursive least-squares (RLS) algorithm in array form that relies mainly on Givens rotations and exhibits highly favorable numerical behavior and a regular  ...  The filter is formed by a set of units that are adapted locally and concurrently using recursions that closely match those for single-channel lattice filters.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for pointing out [16] and for several other helpful comments and suggestions.  ... 
doi:10.1109/tsp.2008.919394 fatcat:fe5ymc3grve3dlikc2x4eaeife

Multichannel Bin-Wise Robust Frequency-Domain Adaptive Filtering and Its Application to Adaptive Beamforming

Wolfgang Herbordt, Herbert Buchner, Satoshi Nakamura, Walter Kellermann
2007 IEEE Transactions on Audio, Speech, and Language Processing  
In this paper, we present impulsive noise robust multichannel frequency-domain adaptive filters (MC-FDAFs) based on outlier-robust -estimation using a Newton algorithm and a discrete Newton algorithm,  ...  Least-squares error (LSE) or mean-squared error (MSE) optimization criteria lead to adaptive filters that are highly sensitive to impulsive noise.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their helpful comments and suggestions.  ... 
doi:10.1109/tasl.2007.894530 fatcat:os7d7u74hngcbaa4tf6hsjmgu4

Multichannel Speech Enhancement [chapter]

Lino Garcia, Soledad Torres-Guijarro
2008 New Developments in Robotics Automation and Control  
Least-Squares for lattice. For CGAL, the same algorithm described in (31-34) is used but it is necessary to rearrange the gradient matrices of the lattice system in a column vector.  ...  The solution to () J w is also the solution to the normal equation Table 3 . 3 Memoryless Least-Squares (LS) methods. Table 5 5 resumes the least-squares for lattice.  ... 
doi:10.5772/6291 fatcat:gympckrwszhnng5xkvkr3omb7q

An Adaptive Algorithms Comparison For Real Multichannel Active Noise Control

María De Diego, Alberto Gonzalez, Miguel A. Ferrer, Gema Piñero
2004 Zenodo  
However, it is well known that recursive least squares (RLS) algorithms [2] produce a faster convergence speed than stochastic gradient descent techniques, such as the FXLMS algorithm, but requires a  ...  k , v i, j,k (n), to update the adaptive filters coefficients within each new sampling period.  ... 
doi:10.5281/zenodo.38589 fatcat:m56a45oiujedrpwhki3ykxhwxa

Pseudo-Affine Projection Algorithms for Multichannel Active Noise Control

Felix Albu, Martin Bouchard, Yuriy Zakharov
2007 IEEE Transactions on Audio, Speech, and Language Processing  
It is shown that t he proposed algorithms typically have a lower complexity than the previously published multichannel affine projection algorithms for ANC, with similar convergence properties and good  ...  In this paper, we propose two new pseudo affine projection algorithms for multichannel active noise control (ANC) systems: one based on the Gauss-Seidel method and one based on dichotomous coordinate descent  ...  recursive least-squares (RLS) algorithm [15] or some more efficient built-in fast-RLS algorithm [15] inside the FAP algorithm.  ... 
doi:10.1109/tasl.2006.881677 fatcat:7pz7fr5ckbfwjhxhgvwygdyjyq

Adaptive Channel Estimation Algorithm For Multi Input Multi Output System – A Brief Review

Veena Ingle, Arun Patel
In this paper a brief reviewing the different channel estimation algorithms for demodulation and comparing all of them with its output performances at various inputs signal and also proposed new algorithm  ...  Index Terms— Channel estimation, Multiple Input Multiple Output, Least Mean Squares, Normalized LMS, Variable Step Size LMS, Recursive Least Squares, Least Mean-Squares Newton Algorithm, Mean square error  ...  Recursive Least Squares (RLS) Algorithm To combat the channel dynamics, the RLS based CE algorithm is frequently used for rapid convergence and improved MSE performance [18] .  ... 
doi:10.24113/ijoscience.v2i1.69 fatcat:hkpxgstierhn3d5yajuszse5lm
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