Results 21 to 30 of about 5,475,408 (345)
Wavelet Adaptive Algorithm and Its Application to MRE Noise Control System
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
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An affine combination of two LMS adaptive filters - Transient mean-square analysis [PDF]
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
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Partial update LMS algorithms [PDF]
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
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A Study on a Novel Inverted Ultra-Short Baseline Positioning System and Phase Difference Estimation
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
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Removing 0.5 Hz Baseline Wander From ECG Signal Using Multistage Adaptive Filter [PDF]
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
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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
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VSS-LMS: LMS Algorithm Experimental Approach
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
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An innovative fractional order LMS algorithm for power signal parameter estimation
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
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
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Study of the quaternion LMS and four-channel LMS algorithms [PDF]
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
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