Results 21 to 30 of about 5,475,408 (345)

Wavelet Adaptive Algorithm and Its Application to MRE Noise Control System

open access: yesShock and Vibration, 2015
To address the limitation of conventional adaptive algorithm used for active noise control (ANC) system, this paper proposed and studied two adaptive algorithms based on Wavelet. The twos are applied to a noise control system including magnetorheological
Zhang Yulin, Zhao Xiuyang
doaj   +1 more source

An affine combination of two LMS adaptive filters - Transient mean-square analysis [PDF]

open access: yes, 2008
This paper studies the statistical behavior of an affine combination of the outputs of two LMS adaptive filters that simultaneously adapt using the same white Gaussian inputs.
Bermudez, José Carlos Moreira   +3 more
core   +1 more source

Partial update LMS algorithms [PDF]

open access: yesIEEE Transactions on Signal Processing, 2005
Partial updating of LMS filter coefficients is an effective method for reducing computational load and power consumption in adaptive filter implementations. This paper presents an analysis of convergence of the class of Sequential Partial Update LMS algorithms (S-LMS) under various assumptions and shows that divergence can be prevented by scheduling ...
Mahesh Godavarti, Alfred O. Hero III
openaire   +1 more source

A Study on a Novel Inverted Ultra-Short Baseline Positioning System and Phase Difference Estimation

open access: yesJournal of Marine Science and Engineering, 2023
Autonomous underwater vehicles (AUVs) are important tools for exploring and studying the ocean. To improve the stealthiness of AUV positioning, a new type of inverted ultra-short baseline (i-USBL) positioning system is proposed in this paper.
Shuai Liu   +7 more
doaj   +1 more source

Removing 0.5 Hz Baseline Wander From ECG Signal Using Multistage Adaptive Filter [PDF]

open access: yesEngineering and Technology Journal, 2011
This paper deals with the implementation of software system to remove 0.5 Hz baseline wander noise from the ECG signal using multistage adaptive filter. At start, a single stage adaptive filter has been implemented and the performance of the implemented ...
H. H. Abbas
doaj   +1 more source

Shunt active power filtering with reference current generation based on dual second order generalized integrator and LMS algorithm

open access: yesEnergy Reports, 2022
For reducing the carbon emissions from utility sector, it is important to improve the efficiency of network and electrical loads. Current harmonics are responsible for the degradation of the system as well as load efficiency.
Amit V. Sant
doaj   +1 more source

VSS-LMS: LMS Algorithm Experimental Approach

open access: yesMEKATRONIKA, 2021
Optimizing the error between the estimated signal and expected signal is the major goal of a filtering algorithm and the Least Mean Square (LMS) is a well-known adaptive filtering algorithm which plays a significant role in achieving this aim. Nonetheless, the LMS algorithm is usually characterised with low convergence speed in respect to the minimum ...
M. O. Momoh   +5 more
openaire   +1 more source

An innovative fractional order LMS algorithm for power signal parameter estimation

open access: yes, 2020
Parameter estimation is an important issue for the quality monitoring and reliability assessment of power systems. In this study, an innovative fractional order least mean square (I-FOLMS) adaptive algorithm is presented for an effective parameter ...
Naveed Ishtiaq Chaudhary   +3 more
semanticscholar   +1 more source

Cascading SOFM and RBF Networks for Categorization and Indexing of Fly Ashes

open access: yesJournal of Intelligent Systems, 2011
The objective of this work is to categorize the available fly ashes in different parts of the world into distinct groups based on its compositional attributes.
Jayaram M. A.   +2 more
doaj   +1 more source

Study of the quaternion LMS and four-channel LMS algorithms [PDF]

open access: yes2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
The recently proposed quaternion least-mean-square (QLMS) algorithm for adaptive filtering of three- and four-dimensional signals has been analysed in the context of multi-step ahead prediction. For rigour, the relationship between multichannel LMS (MLMS) and QLMS is examined, and their differences are highlighted. This is achieved both in terms of the
Clive Cheong Took   +2 more
openaire   +3 more sources

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