Results 111 to 120 of about 153,055 (297)

Investigation of Phase Noise on the Performance of LMS-RLS Adaptive Equalizer

open access: yesDiyala Journal of Engineering Sciences, 2013
This paper investigates the effect of phase noise on equalization of  communication channels using least mean square (LMS) and recursive least square (RLS) adaptive algorithms.
Radhi Shabib Kaned
doaj   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

Efficient Rank-Adaptive Least-Square Estimation and Multiple-Parameter Linear Regression Using Novel Dyadically Recursive Hermitian Matrix Inversion

open access: yesInternational Journal of Antennas and Propagation, 2012
Least-square estimation (LSE) and multiple-parameter linear regression (MLR) are the important estimation techniques for engineering and science, especially in the mobile communications and signal processing applications.
Hsiao-Chun Wu   +3 more
doaj   +1 more source

Recursive Minimum Complex Kernel Risk-Sensitive Loss Algorithm

open access: yesEntropy, 2018
The maximum complex correntropy criterion (MCCC) has been extended to complex domain for dealing with complex-valued data in the presence of impulsive noise.
Guobing Qian, Dan Luo, Shiyuan Wang
doaj   +1 more source

Forecasting with an adaptive control algorithm [PDF]

open access: yes
We construct a parsimonious model of the U.S. macro economy using a state space representation and recursive estimation. At the core of the estimation procedure is a prediction/correction algorithm based on a recursive least squares estimation with ...
Donald S. Allen   +2 more
core  

POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy   +5 more
wiley   +1 more source

Disturbance‐Resilient Voltage/Power‐Quality Management for Islanded Inverters Using Self‐Tuning Type‐3 Fuzzy Controller

open access: yesEnergy Science &Engineering, EarlyView.
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian   +7 more
wiley   +1 more source

Microengineering the Liver: Strategies for Constructing Functional Liver‐on‐a‐Chip Devices

open access: yesExploration, EarlyView.
This review summarizes recent advances in liver‐on‐a‐chip (LOC) technologies, including fabrication strategies and functional integration approaches, and discusses their promising applications in drug screening and related biomedical fields. ABSTRACT Reliable in vitro liver models are indispensable for researching liver diseases and developing ...
Jie Wang   +7 more
wiley   +1 more source

Power system harmonics estimation using different signal processing techniques [PDF]

open access: yes, 2014
Harmonics have been available for quite a while and its presence shapes the execution of a power system. Consequently, harmonics estimation is of principal vitality while analyzing the power system. Emulating the beginning of harmonics, different filters
Jaiswal, R K
core  

Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley   +1 more source

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