Results 31 to 40 of about 254 (102)

A new adaptive Kalman filter-based subspace tracking algorithm and its application to DOA estimation [PDF]

, 2006
IEEE International Symposium on Circuits and Systems, Island of Kos, Greece, 21-24 May 2006This paper presents a new Kalman filter-based subspace tracking algorithm and its application to directions of arrival (DOA) estimation.
Chan, SC, Zhang, ZG, Zhou, Y
core   +1 more source

Online parameter estimation of a lithium-ion battery based on sunflower optimization algorithm [PDF]

, 2021
For techniques used to estimate battery state of charge (SOC) based on equivalent electric circuit models (ECMs), the battery equivalent model parameters are affected by factors such as SOC, temperature, battery aging, leading to SOC estimation error ...
bouzi, Mostafa, Elmarghichi, Mouncef, Ettalabi, Naoufl   +2 more
core   +3 more sources

Real-Time Noninvasive Estimation of Intrapleural Pressure in Mechanically Ventilated Patients: a Feasibility Study [PDF]

, 2013
A method for real-time noninvasive estimation of intrapleural pressure in mechanically ventilated patients is proposed. The method employs a simple first-order lung mechanics model that is fitted in real-time to flow and pressure signals acquired non ...
Albanese, Antonio, Chbat, Nicolas W., Haider, Syed W., Karamolegkos, Nikolaos, Seiver, Adam   +4 more
core   +2 more sources

Linearly Constrained RLS Algorithm with Variable Forgetting Factor for DS-CDMA Systems [PDF]

[[abstract]]In this paper we present a novel linearly constrained (LC) RLS algorithm with variable forgetting factor (VFF), and apply to the DS-CDMA system for suddenly joined narrowband interference suppression. Under Rayleigh fading channel environment,
[[corresponding]]Chern, Shiunn-Jang, CHERN (陳), Shiunn-Jang (巽璋), Chun-Hung Sun   +1 more
core   +1 more source

Adjustable dynamic range for paper reduction schemes in large-scale MIMO-OFDM systems [PDF]

, 2017
In a multi-input-multi-output (MIMO) communication system there is a necessity to limit the power that the output antenna amplifiers can deliver. Their signal is a combination of many independent channels, so the demanded amplitude can peak to many ...
Udomsripaiboon, Thana
core   +2 more sources

Discrete wavelet transform-based RI adaptive algorithm for system identification [PDF]

, 2020
In this paper, we propose a new adaptive filtering algorithm for system identification. The algorithm is based on the recursive inverse (RI) adaptive algorithm which suffers from low convergence rates in some applications; i.e., the eigenvalue spread of ...
Al-Sheikh, Bahaa, Eleyan, Alaa, Salman, Mohammad Shukri   +2 more
core   +3 more sources

Online Sequential Extreme Learning Machine with Generalized Regularization and Adaptive Forgetting Factor for Time‐Varying System Prediction

Mathematical Problems in Engineering, Volume 2018, Issue 1, 2018., 2018
Many real world applications are of time‐varying nature and an online learning algorithm is preferred in tracking the real‐time changes of the time‐varying system. Online sequential extreme learning machine (OSELM) is an excellent online learning algorithm, and some improved OSELM algorithms incorporating forgetting mechanism have been developed to ...
Wei Guo, Tao Xu, Keming Tang, Jianjiang Yu, Shuangshuang Chen, Antonino Laudani   +5 more
wiley   +1 more source

Recent Basal Melting of a Mid‐Latitude Glacier on Mars

Journal of Geophysical Research: Planets, Volume 122, Issue 12, Page 2445-2468, December 2017., 2017
Abstract Evidence for past basal melting of young (late Amazonian‐aged), debris‐covered glaciers in Mars' mid‐latitudes is extremely rare. Thus, it is widely thought that these viscous flow features (VFFs) have been perennially frozen to their beds. We identify an instance of recent, localized wet‐based mid‐latitude glaciation, evidenced by a candidate
Frances E. G. Butcher, M. R. Balme, C. Gallagher, N. S. Arnold, S. J. Conway, A. Hagermann, S. R. Lewis   +6 more
wiley   +1 more source

Adaptive thermal error prediction for CNC machine tool spindle using online measurement and an improved recursive least square algorithm

Case Studies in Thermal Engineering
Establishing models for predicting and compensating for spindle thermal errors is cost-effective and necessary to improve the accuracy of machine tools for smart manufacturing.
Xinyuan Wei, Honghan Ye, Gao Wang, Weidong Hu   +3 more
doaj   +1 more source

On the Use of EEG or MEG Brain Imaging Tools in Neuromarketing Research

Computational Intelligence and Neuroscience, Volume 2011, Issue 1, 2011., 2011
Here we present an overview of some published papers of interest for the marketing research employing electroencephalogram (EEG) and magnetoencephalogram (MEG) methods. The interest for these methodologies relies in their high‐temporal resolution as opposed to the investigation of such problem with the functional Magnetic Resonance Imaging (fMRI ...
Giovanni Vecchiato, Laura Astolfi, Fabrizio De Vico Fallani, Jlenia Toppi, Fabio Aloise, Francesco Bez, Daming Wei, Wanzeng Kong, Jounging Dai, Febo Cincotti, Donatella Mattia, Fabio Babiloni, Saeid Sanei   +12 more
wiley   +1 more source