Search Results - "((\"kernel recursive least squares algorithm\") OR (\"kernel recursive post squares algorithm\"))"

Kernel Recursive Maximum Versoria Criterion Based Post-Distorter for VLC Using Kernel-Width Sampling

Authors: Sandesh Jain Rangeet Mitra Ondrej Krejcar et al.

Source: IEEE Photonics Journal, Vol 14, Iss 3, Pp 1-12 (2022)

Subject Terms: VLC, Visible light communication, 0211 other engineering and technologies, user-mobility, maximum Versoria criterion, 02 engineering and technology, Peak-to-Average Power Ratio Reduction Techniques, Bandwidth (computing), Engineering, Light-emitting diode, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Nonlinear Distortion, Amplifier, Applied optics. Photonics, Electrical and Electronic Engineering, Distortion (music), Optical Wireless Communication Systems and Technologies, Physics, Optics, QC350-467, Optics. Light, Computer science, TA1501-1820, Visible Light Communication, Algorithm, Optical wireless, Microwave Photonics and Optical Access Networks, Combinatorics, random Fourier features, kernel-width sampling, Physical Sciences, Kernel (algebra), Wireless, Telecommunications, LED-Based Communication, Mathematics

Access URL: https://doaj.org/article/2539147f8f0d4ee0962f8caa5c41cf00

Low complexity post-distorter based on extended kernel recursive least squares for visible light communications.

Authors: Wang, Jieling Li, Menghan Shen, Ba-Zhong

Source: Signal Processing. Jun2024, Vol. 219, pN.PAG-N.PAG. 1p.

Subject Terms: *OPTICAL communications, *VISIBLE spectra, *HILBERT space, *TELECOMMUNICATION systems, *DATA transmission systems

A scalable implementation of the recursive least-squares algorithm for training spiking neural networks.

Authors: Arthur, Benjamin J. Kim, Christopher M. Susu Chen et al.

Source: Frontiers in Neuroinformatics; 2023, p1-8, 8p

Subject Terms: ARTIFICIAL neural networks, RECURRENT neural networks, NERVOUS system, ALGORITHMS, NEURAL circuitry

Sparse Sliding-Window Kernel Recursive Least-Squares Channel Prediction for Fast Time-Varying MIMO Systems.

Authors: Ai, Xingxing Zhao, Jiayi Zhang, Hongtao et al.

Source: Sensors (14248220). Aug2022, Vol. 22 Issue 16, p6248-6248. 16p.

Subject Terms: *MIMO systems, *TIME-varying systems, *CHANNEL estimation, *HILBERT space, *NONLINEAR equations, *BUDGET, *KERNEL functions

Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals

Authors: Vaerenbergh, Steven Van

Thesis Advisors: Santamaría Caballero, Ignacio, Universidad de Cantabria. Departamento de Ingeniería de Comunicaciones

Source: TDR (Tesis Doctorales en Red)

Subject Terms: spectral clustering, multiple-input multiple-output systems (MIMO), blind equalization of nonlinear systems, identification of nonlinear systems, signal processing, kernel methods, machine learning, análisis de correlaciones canónicas con kernels, separación ciega de fuentes post no lineal, filtrado adaptativo mediante Kernels, agrupamiento espectral, sistemas de múltiples entradas y múltiples salidas, igualación ciega de sistemas no lineales, identificación de sistemas no lineales, procesado de señal, métodos kernel, aprendizaje máquina, kernel adaptive filtering, postnonlinear blind source separation (BSS), adaptive kernel canonical correlation analysis, Teoría de la Señal y Comunicaciones

Time: 621.3

File Description: application/pdf

Access URL: http://www.tesisenred.net/TDR-0210110-112952
http://hdl.handle.net/10803/10673

Mixed-Precision Kernel Recursive Least Squares.

Authors: Lee, JunKyu Nikolopoulos, Dimitrios S. Vandierendonck, Hans

Source: IEEE Transactions on Neural Networks & Learning Systems; Mar2022, Vol. 33 Issue 3, p1284-1298, 15p

Subject Terms: OCEAN temperature, TIME series analysis, NONLINEAR regression, ONLINE education, MACHINE learning

Research Progress on Intelligent System’s Learning, Optimization, and Control—Part II: Online Sparse Kernel Adaptive Algorithm.

Authors: Tan, Fuxiao Guan, Xinping

Source: IEEE Transactions on Systems, Man & Cybernetics. Systems; Dec2020, Vol. 50 Issue 12, p5369-5385, 17p

Subject Terms: ALGORITHMS, ADAPTIVE filters, HILBERT space, PRINCIPAL components analysis, KERNEL functions, KERNEL (Mathematics)

Kernel Recursive Maximum Versoria Criterion Based Post-Distorter for VLC Using Kernel-Width Sampling.

Authors: Jain, Sandesh Mitra, Rangeet Krejcar, Ondrej et al.

Source: IEEE Photonics Journal; Jun2022, Vol. 14 Issue 3, p1-12, 12p

The Kernel Recursive Least Squares CMAC with Vector Eligibility.

Authors: Laufer, Carl Patel, Nitish Coghill, George

Source: Neural Processing Letters; Jun2014, Vol. 39 Issue 3, p269-284, 16p

Subject Terms: LEAST squares, CEREBELLUM, ROBOT motion, ALGORITHMS, ARTIFICIAL neural networks

Hierarchical extended parameter identification methods and convergence for finite impulse response moving average models based on the hierarchical identification principle.

Authors: Ding, Feng Xu, Ling Zhang, Xiao et al.

Source: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems & Control Engineering; Nov2025, Vol. 239 Issue 10, p1719-1746, 28p

Kernel Recursive Least Squares With Multiple Feedback and Its Convergence Analysis.

Authors: Wang, Shiyuan Wang, Wanli Duan, Shukai et al.

Source: IEEE Transactions on Circuits & Systems. Part II: Express Briefs; Oct2017, Vol. 64 Issue 10, p1237-1241, 5p

Kernel Recursive Least-Squares Tracker for Time-Varying Regression.

Authors: Van Vaerenbergh, Steven Lazaro-Gredilla, Miguel Santamaria, Ignacio

Source: IEEE Transactions on Neural Networks & Learning Systems; Aug2012, Vol. 23 Issue 8, p1313-1326, 14p

Subject Terms: SIGNAL processing, KERNEL (Mathematics), ADAPTIVE filters, COMPUTATIONAL complexity, COMPUTER simulation

Self-learning type-2 fuzzy systems with adaptive rule reduction for time series forecasting.

Authors: Alkharashi, Abdulwhab Kaur, Gaganjot Alsolai, Hadeel et al.

Source: PeerJ Computer Science; Jul2025, p1-26, 26p

Subject Terms: FORECASTING, FUZZY systems, MACHINE learning, FUZZY logic, UNCERTAINTY (Information theory), MATHEMATICAL optimization

An outlier-robust kernel RLS algorithm for nonlinear system identification.

Authors: Santos, José Barreto, Guilherme

Source: Nonlinear Dynamics; Nov2017, Vol. 90 Issue 3, p1707-1726, 20p

Variable kernel‐based computing algorithms for estimating sparse multipath channels.

Authors: Yang, Jie Zhao, Ruijie Song, Rongfang et al.

Source: International Journal of Communication Systems. May2018, Vol. 31 Issue 7, p1-1. 9p.

Subject Terms: *WIRELESS communications, *ALGORITHMS, *MULTIPATH channels, *BROADBAND communication systems, *LEAST squares, *MONTE Carlo method

Probability Density Rank-Based Quantization for Convex Universal Learning Machines.

Authors: Qin, Zhengda Chen, Badong Gu, Yuantao et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Aug2020, Vol. 31 Issue 8, p3100-3113, 14p

Subject Terms: MACHINE learning, DATA distribution, PROBABILITY theory, DENSITY, VECTOR quantization

Model-Based Online Learning With Kernels.

Authors: Li, Guoqi Wen, Changyun Li, Zheng Guo et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Mar2013, Vol. 24 Issue 3, p356-369, 14p

Subject Terms: DISTANCE education, KERNEL operating systems, HILBERT space, STOCHASTIC processes, SUPPORT vector machines

Actor-Critic Learning Control Based on$\ell_{2}$-Regularized Temporal-Difference Prediction With Gradient Correction.

Authors: Li, Luntong Li, Dazi Song, Tianheng et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Dec2018, Vol. 29 Issue 12, p5899-5909, 11p

Subject Terms: MACHINE learning, ARTIFICIAL neural networks, LEAST squares

Improving a Prediction Model for Tunnel Water Inflow Estimation Using LSTM and Bayesian Optimization.

Authors: Huang, Zhen Yang, Zishuai Wu, Yun et al.

Source: Water (20734441); Nov2025, Vol. 17 Issue 21, p3045, 23p

Subject Terms: LONG short-term memory, PREDICTION models, MATHEMATICAL optimization, UNDERGROUND construction, HAZARD mitigation, MACHINE learning, WATER tunnels

Blood Glucose Prediction from Nutrition Analytics in Type 1 Diabetes: A Review.

Authors: Lubasinski, Nicole Thabit, Hood Nutter, Paul W. et al.

Source: Nutrients. Jul2024, Vol. 16 Issue 14, p2214. 20p.