Results 1 to 10 of about 71,436 (268)

Optimal temperature and humidity control for autonomous control system based on PSO‐BP neural networks

open access: yesIET Control Theory & Applications, 2023
In order to solve the problems of difficult control, poor stability, and low control precision in complex autonomous non‐linear systems, and some sensors have non‐linear errors in special environments.
Weibin Wu   +7 more
doaj   +1 more source

Modified Proportionate Affine Projection Algorithm Based Adaptive DSTATCOM Control With Increased Convergence Speed

open access: yesIEEE Access, 2022
The three-phase DSTATCOM is prone to higher dynamics due to grid disturbances. The proportionate affine projection algorithm (PAPA) is an adaptive filter that can be used for DSTATCOM control.
Arobinda Dash   +5 more
doaj   +1 more source

Application of adaptive filters in rock separation by rotary drilling process identification [PDF]

open access: yesActa Montanistica Slovaca, 2015
Adaptive filters can be used for signal processing. Their utilization dwells in identifying an unknown system or process. The result of the adaptation process is finding an adaptive filter coefficient.
Patrik Flegner   +3 more
doaj   +1 more source

Cellular automata-based approach for salt-and-pepper noise filtration

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Application of cellular automata (CA) to digital image processing has achieved considerable attention in last several years. CA are now employed in noise filtration of digital images; particularly many CA-based impulse noise filters have been proposed ...
Zubair Jeelani, Fasel Qadir
doaj   +1 more source

Possible solution of parallel FIR filter structure [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2005
In this paper, a parallel form FIR adaptive filter structure with RLS (Recursive Least Squares) type adaptive algorithm is proposed. The proposed parallel form FIR structure consists of a recursive orthogonal transform stage and sparse FIR sub filters ...
Petrović Predrag
doaj   +1 more source

Multiple model estimation with inter-residual distance feedback [PDF]

open access: yesModeling, Identification and Control, 1992
This paper presents a modification of the Multiple Model Adaptive Estimation concept. A trade-off problem between tracking the process and distinguishing the models is pointed out and an adaption of the elemental filters is proposed.
Eivind J. Lund   +2 more
doaj   +1 more source

An Affine Combination of Adaptive Filters for Channels with Different Sparsity Levels

open access: yesTelfor Journal, 2016
In this paper we present an affine combination strategy for two adaptive filters. One filter is designed to handle sparse impulse responses and the other one performs better if impulse response is dispersive. Filter outputs are combined using an adaptive
M. Butsenko, T. Trump
doaj   +1 more source

Effect of adaptive line enhancement filters on noise cancellation in ECG signals [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2021
Power line interference is the main noise source that contaminates Electrocardiogram (ECG) signals and measurements. In recent years, adaptive filters with different approaches have been investigated to eliminate power line interference in ECG ...
Karraz George
doaj   +1 more source

Output signal based combination of two NLMS adaptive filters – transient analysis; pp. 258–268 [PDF]

open access: yesProceedings of the Estonian Academy of Sciences, 2011
A combination of two complex normalized least mean square (NLMS) adaptive filters that adapt on the same input signal at the same time is investigated. One of the filters has a large and the other one has a small step size. The outputs of the filters are
Tõnu Trump
doaj   +1 more source

A novel heuristic for the analysis of block sign LMS algorithm

open access: yesElectronics Letters, 2023
This paper presents a new heuristic for the analysis of adaptive filtering algorithms. It combines Price's Theorem (which is strictly valid when the random variables are jointly Gaussian) with a probabilistic model of the input data that assumes ...
Newton Norat Siqueira   +2 more
doaj   +1 more source

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