Results 251 to 260 of about 6,039 (296)

Hybrid affine projection algorithm

2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014
In this work, we put forward a new adaptation criterion, namely the hybrid criterion (HC), which is a mixture of the traditional mean square error (MSE) and the maximum correntropy criterion (MCC). The HC criterion is developed from the viewpoint of the least trimmed squares (LTS) estimator, a high breakdown estimator that can avoid undue influence ...
Xiaohan Yang, Hua Qu, Ji-hong Zhao 0001, Badong Chen   +3 more
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Trimmed affine projection algorithms

2014 International Joint Conference on Neural Networks (IJCNN), 2014
The least trimmed squares (LTS) estimator is a robust estimator as it can avoid undue influence from outliers. The exact solution of the LTS estimation is however hard to And and if the number of data is large then the method is unfeasible. In this work, we apply the LTS criterion to adaptive filtering and develop the trimmed affine projection ...
Badong Chen, Xiaohan Yang, Hong Ji, Hua Qu, Nanning Zheng 0001, José C. Príncipe   +5 more
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Regularization of the Affine Projection Algorithm

IEEE Transactions on Circuits and Systems II: Express Briefs, 2011
The affine projection algorithm (APA) is an attractive choice for echo cancellation, mainly for its convergence features. A matrix inversion is required within the APA. For practical reasons, this matrix needs to be regularized, i.e., a positive constant is added to the elements of its main diagonal. This regularization parameter is of great importance
Constantin Paleologu, Jacob Benesty, Silviu Ciochina   +2 more
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Transient behavior of affine projection algorithms

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004
Most analytical results on affine projection algorithms assume special regression models or Gaussian regression data. The available analyses also treat different affine projection filters separately. This paper provides a unified treatment of the transient performance of a family of affine projection algorithms.
Hyun-Chool Shin, Ali H. Sayed
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Feature Affine Projection Algorithms

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
There is a growing research interest in proposing new techniques to detect and exploit signals/systems sparsity. Recently, the idea of hidden sparsity has been proposed, and it has been shown that, in many cases, sparsity is not explicit, and some tools are required to expose hidden sparsity.
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A Tensorial Affine Projection Algorithm

2021 International Symposium on Signals, Circuits and Systems (ISSCS), 2021
The affine projection algorithm (APA) represents a popular choice in system identification scenarios, especially with correlated input signals. In this paper, we address the multilinear identification problem, in the framework of multiple-input single-output systems.
Laura-Maria Dogariu, Camelia Elisei-Iliescu, Constantin Paleologu, Jacob Benesty, Silviu Ciochina   +4 more
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Intermittently-updated affine projection algorithm

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
Acoustic echo cancellation and feedback cancellation systems require robust and computationally efficient adaptive filtering techniques. In this paper, a new affine projection algorithm with intermittent update of the filter coefficients is proposed where the update interval is determined according to the adaptation state.
Felix Albu, Marius Rotaru, Reza Arablouei, Kutluyil Dogancay   +3 more
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Affine Projection Algorithm with Selective Regressors

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006
Affine projection algorithm, which updates the weight vector based on several previous input vectors, is an useful adaptive filter to improve the convergence speed of LMS-type filter. However, the computational complexity of adaptation algorithm highly depends on the number of input vectors used for update.
Kyu-Young Hwang, Woo-Jin Song
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Error coded affine projection algorithm

2013 IEEE 4th Latin American Symposium on Circuits and Systems (LASCAS), 2013
This paper presents a new modification to the affine projection algorithm for adaptive filtering with the purpose of reducing the floating point operations and thus the computational complexity. The modification is achieved codifying the error in the algorithm.
Juan Gerardo Ávalos Ochoa, Juan C. Sánchez 0001, José Velázquez López   +2 more
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Convergence behavior of affine projection algorithms

IEEE Transactions on Signal Processing, 2000
Summary: Over the last decade, a class of equivalent algorithms that accelerate the convergence of the normalized LMS (NLMS) algorithm, especially for colored inputs, has been discovered independently. The affine projection algorithm (APA) is the earliest and most popular algorithm in this class that inherits its name.
Sundar G. Sankaran, A. A. (Louis) Beex
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