Results 241 to 250 of about 2,652,813 (292)

A variable step-size affine projection algorithm

Digital Signal Processing, 2010
In this paper, we propose a new time-varying step-size for the affine projection (AP) algorithm based on the minimization of the mean-square error (MSE) at each time instant. The step-size is dependent on accessible quantities and, therefore, does not need approximation.
Khaled Mayyas
exaly   +3 more sources

Optimal Step-Size Affine Projection Algorithm

IEEE Signal Processing Letters, 2012
This letter describes how to set up the step size of the affine projection algorithm (APA) based on mean-square deviation analysis. The analysis considers the cross-correlation between the current weight error vector and the prior measurement noises associated with the reused inputs vectors for better prediction of the learning behavior of the APA ...
Chang Hee Lee, PooGyeon Park
openaire   +3 more sources

Affine Projection Algorithm for Censored Regression

IEEE Transactions on Circuits and Systems II: Express Briefs, 2021
Non-Gaussian colored input signal and censored observation are encountered frequently in many practical applications of adaptive signal processing. Conventional adaptive algorithms will face convergence performance degradation in such cases. To address the issue, the affine projection algorithm for censored regression (CR-APA) is proposed in the paper.
Haiquan Zhao 0001, Feng Zhao, Gen Wang, Lijun Zhou, Pucha Song   +4 more
openaire   +2 more sources

The fast affine projection algorithm

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
This paper discusses a new adaptive filtering algorithm called fast affine projections (FAP). FAP's key features include LMS like complexity and memory requirements (low), and RLS like convergence (fast) for the important case where the excitation signal is speech.
Steven L. Gay, Sanjeev Tavathia
openaire   +1 more source

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
openaire   +2 more sources

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
openaire   +2 more sources

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
openaire   +1 more source

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
openaire   +1 more source

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.
openaire   +2 more sources

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
openaire   +1 more source