Results 31 to 40 of about 107,979 (335)

A robust M-estimate adaptive equaliser for impulse noise suppression [PDF]

, 1999
In this paper, a FIR adaptive equaliser for impulse noise suppression is proposed. It is based on the minimization of an M-estimate objective function which has the ability to ignore or down-weight a large error signal when it exceeds certain thresholds.
Chan, SC, Ng, TS, Zou, Y
core   +1 more source

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

Diyala 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

RLS Beamforming Algorithm Based on Wavelet Transform

Dianxin kexue, 2015
On the basis of analyzing the recursive least square algorithm（RLS）, in order to improve the performance of RLS algorithm, the idea of denoising by wavelet transform was introduced and the RLS beamforming algorithm which is based on wavelet transform was
Jihong Zhao, Pei Lei, Weihua Wang, Hua Qu, Dan He   +4 more
doaj   +2 more sources

A Novel Variable Forgetting Factor Recursive Least Square Algorithm to Improve the Anti-Interference Ability of Battery Model Parameters Identification

IEEE Access, 2019
Recursive least square (RLS) algorithms are considered as a kind of accurate parameter identification method for lithium-ion batteries. However, traditional RLS algorithms usually employ a fixed forgetting factor, which does not have adequate robustness ...
Qiang Song, Yuxuan Mi, Wuxuan Lai
doaj   +1 more source

A new regularized QRD recursive least M-estimate algorithm: Performance analysis and applications [PDF]

, 2010
Proceedings of the International Conference on Green Circuits and Systems, 2010, p. 190-195This paper proposes a new regularized QR decomposition based recursive least M-estimate (R-QRRLM) adaptive filtering algorithm and studies its mean and mean square
Chan, SC, Chu, YJ, Zhang, ZG
core   +1 more source

Research of Gear Meshing Stiffness Identification Algorithm based on Exponential Window Interception Recursive Least Square Method

Jixie chuandong, 2021
Gear is widely applied in mechanical transmission systems. Gear meshing stiffness is a time varying parameter because of the periodical changing of the numbers of teeth involved in meshing process，the meshing vibration is generated during gear meshing ...
Maohui Wang, Haixiang Li, Ping Yang, Jiao Chen, Wei Xia   +4 more
doaj  

A Variable Regularized Recursive Subspace Model Identification Algorithm With Extended Instrumental Variable and Variable Forgetting Factor

IEEE Access, 2020
This paper proposes a new smoothly clipped absolute deviation (SCAD) regularized recursive subspace model identification algorithm with square root(SR) extended instrumental variable (EIV) and locally optimal variable forgetting factor (LOFF).
Jian-Qiang Lin, Shing-Chow Chan, Hai-Jun Tan   +2 more
doaj   +1 more source

Application of Advanced Estimation Techniques to a Chemical Plant Model [PDF]

, 2012
The paper is aimed at comparing some of the most promising and novel advanced techniques for estimation by assessing their effectiveness on the chemical process benchmark.
Flavio Manenti, Marcello Farina, Paolo S. Carinci, Riccardo Scattolini   +3 more
core   +1 more source

Research on Fractional Spaced Equalizer for Short Wave Burst Communication [PDF]

Jisuanji gongcheng, 2016
The short wave channel has characteristics of multipath,fading and time variant.In the equilibrium process,the convergence rate of Liner Equalizer(LE) is slow,the convergence precision is low,and the Fractional Spaced Equalizer(FSE) has better balance ...
YUAN Peng,FU Jielin
doaj   +1 more source

Least-square based recursive optimization for distance-based source localization

, 2018
In this paper we study the problem of driving an agent to an unknown source whose location is estimated in real-time by a recursive optimization algorithm.
Nguyen, Thien-Minh, Xie, Lihua
core   +1 more source