Results 1 to 10 of about 5,059,929 (339)

Adaptive filtering with quantized minimum error entropy criterion

Signal Processing, 2020
Adaptive filtering algorithms have been widely used in many areas, among which the minimum error entropy (MEE) algorithm is a superior choice, due to its excellent performance in the non-Gaussian noise situations. However, the computational complexity of
Zhuang Li, Lei Xing, Badong Chen
semanticscholar   +1 more source

Nonlinear Adaptive Filtering With Kernel Set-Membership Approach

IEEE Transactions on Signal Processing, 2020
This paper develops nonlinear kernel adaptive filtering algorithms based on the set-membership filtering (SMF) framework. The set-membership-based filtering approach is distinct from the conventional adaptive filtering approaches in that it aims for the ...
Kewei Chen, Stefan Werner, A. Kuh, Yih-Fang Huang   +3 more
semanticscholar   +1 more source

A classification method for multiple power quality disturbances using EWT based adaptive filtering and multiclass SVM

Neurocomputing, 2019
This paper presents an automated recognition approach for the classification of power quality (PQ) disturbances based on adaptive filtering and a multiclass support vector machine (SVM).
Karthik Thirumala, Sushmita Pal, Trapti Jain, A. Umarikar   +3 more
semanticscholar   +1 more source

On Adaptive Filtering

Operational Research Quarterly (1970-1977), 1976
The adaptive filtering technique has recently been proposed as a method for short-to medium-term forecasting. The present note demonstrates some of the shortcomings implicit in the theory and gives illustrative examples.
Golder, E. R., Settle, J. G.
openaire   +1 more source

Adaptive Bilinear Filtering

1993 IEEE International Symposium on Circuits and Systems, 2002
The application of the conjugate gradient (CG) method for the identification of bilinear systems is investigated. An algorithm based on the CG method is developed for adaptive-bilinear digital filtering. This algorithm outperforms the least mean square (LMS) and recursive least squares (RLS) methods in terms of speed of convergence.
T. Bose, M.-Q. Chen
openaire   +1 more source

On Data-Selective Adaptive Filtering

IEEE Transactions on Signal Processing, 2018
The current trend of acquiring data pervasively calls for some data-selection strategy, particularly in the case a subset of the data does not bring enough innovation.
P. Diniz
semanticscholar   +1 more source

A family of robust adaptive filtering algorithms based on sigmoid cost

Signal Processing, 2018
In this paper, a new framework of cost function for designing robust adaptive filtering algorithms is developed. This new cost framework, called sigmoid cost function, results from imbedding the conventional cost function into the sigmoid framework ...
Fuyi Huang, Jiashu Zhang, Sheng Zhang
semanticscholar   +1 more source

Robust Constrained Adaptive Filtering Under Minimum Error Entropy Criterion

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2018
Minimum error entropy (MEE), as a robust adaption criterion, has received considerable attention due to its broad applicability, especially in the presence of non-Gaussian noises. In this brief, we propose a constrained adaptive filtering algorithm under
Siyuan Peng, W. Ser, Badong Chen, Lei Sun, Zhiping Lin   +4 more
semanticscholar   +1 more source

Adaptive Filtering

Numerische Mathematik, 1997
The adaptive filtering method which leads to robust algorithms for the solution of systems of linear equations arising from the discretization of partial differential equations with strongly varying coefficients is introduced and analyzed. The basis of these algorithms is the tangential frequency filtering decomposition whose theoretical results are ...
Wagner, Christian, Wittum, Gabriel
openaire   +3 more sources

Adaptive Filters

2007
This chapter focuses on the main aspects of adaptive signal processing. The basic concepts are introduced in a simple framework, and its main applications (namely system identification, channel equalization, signal prediction, and noise cancellation) are briefly presented.
Sergio L. Netto, Luiz W.P. Biscainho
openaire   +2 more sources