Results 61 to 70 of about 768 (156)

Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations

Communications on Pure and Applied Mathematics, Volume 78, Issue 5, Page 995-1041, May 2025.
Abstract The randomly pivoted Cholesky algorithm (RPCholesky) computes a factorized rank‐k$k$ approximation of an N×N$N \times N$ positive‐semidefinite (psd) matrix. RPCholesky requires only (k+1)N$(k + 1)N$ entry evaluations and O(k2N)$\mathcal {O}(k^2 N)$ additional arithmetic operations, and it can be implemented with just a few lines of code.
Yifan Chen, Ethan N. Epperly, Joel A. Tropp, Robert J. Webber   +3 more
wiley   +1 more source

Gait Perception via Actual and Estimated Pneumatic Physical Reservoir Output

Advanced Intelligent Systems, Volume 7, Issue 1, January 2025.
The authors introduce a self‐estimated physical reservoir computing (SEPRC) model for improved gait perception in wearable power‐assist limb devices. The new approach enhances traditional PRC models by combining actual and estimated physical reservoir outputs for subsequence processing.
Junyi Shen, Tetsuro Miyazaki, Swaninda Ghosh, Toshihiro Kawase, Kenji Kawashima   +4 more
wiley   +1 more source

A New Incipient Fault Diagnosis Method Combining Improved RLS and LMD Algorithm for Rolling Bearings With Strong Background Noise

IEEE Access, 2018
Aiming at the difficulty of extracting information for incipient fault symptoms from rolling bearings with strong background noise, an improved incipient fault detection method based on modified recursive least squares (RLS) adaptive equalization, and a ...
Huang Darong, Ke Lanyan, Mi Bo, Zhao Ling, Sun Guoxi   +4 more
doaj   +1 more source

Performance Evaluation of Hexagonal Array Adaptive Beamforming Algorithm Based on Inverse QR-RLS for Active Sonar Application

Journal of Algorithms & Computational Technology, 2009
In shallow water areas, to enhance underwater targets detection performance improve computation efficiency of active sonar, a computationally efficient adaptive beamformer (spatial filter) based on inverse QR (IQR) and recursive least-squares (RLS) is ...
Q. Wang, X. Pan
doaj   +1 more source

Robust Regularized Recursive Least-Squares Algorithm Based on Third-Order Tensor Decomposition

Algorithms
The decomposition-based adaptive filtering algorithms have recently gained increasing interest due to their capability to reduce the parameter space.
Radu-Andrei Otopeleanu, Constantin Paleologu, Jacob Benesty, Cristian-Lucian Stanciu, Laura-Maria Dogariu, Ruxandra-Liana Costea   +5 more
doaj   +1 more source

Adaptive Tracking Method for Time-Varying Underwater Acoustic Channel Based on Dynamic Gaussian Window

Journal of Marine Science and Engineering
The traditional recursive least squares (RLS) algorithm is limited in highly dynamic and noisy underwater channels. To overcome this, we introduce the time-varying Gaussian sliding window-based RLS (VGSRLS) algorithm, designed for enhanced channel ...
Zemin Zhou, Zhikuan Chen, Bin Wang, Yunjiang Zhao, Yi Lou   +4 more
doaj   +1 more source

Online Inductance and Capacitance Identification Based on Variable Forgetting Factor Recursive Least-Squares Algorithm for Boost Converter

MATEC Web of Conferences, 2018
The control performance of boost converter suffers from the variations of important component parameters, such as inductance and capacitance. In this paper, an online inductance and capacitance identification based on variable forgetting factor recursive
Chen Chen, Min Run, Tong Qiaoling, Tao Shifei, Lyu Dian, Li Linkai   +5 more
doaj   +1 more source

Application of RLS adaptive filteringin signal de-noising

Journal of Measurement Science and Instrumentation, 2014
In view of the problem that noises are prone to be mixed in the signals,an adaptive signal de-noising system based on reursive least squares（RLS）algorithm is introduced.The principle of adaptive filtering and the process flow of RLS algorithm are ...
CHENG Xue-zhen, XU Jing-dong, WEI A-ying, PANG Ming-xiang   +3 more
doaj  

Adaptive Channel Estimation based on Soft Information Processing in Broadband Spatial Multiplexing Receivers [PDF]

Telfor Journal, 2010
In this paper we present a novel approach in Multiple-Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) channel estimation technique based on a Decision Directed Recursive Least Squares (RLS) algorithm in which no pilot ...
P. Beinschob, U. Zölzer
doaj  

Solar panel fault diagnosis based on the intelligentrecursive method

Majlesi Journal of Electrical Engineering
The solar panel or solar cell is one of the most important components of the solar system that produces electrical energy with high efficiency compatible with electrical loads, but any defect in this cell can cause its efficiency to decrease.
Saadat Boulanouar, Fengal Boualem
doaj   +1 more source