Superpixel based recursive least-squares method for lossless compression of hyperspectral images
Sign Up to like & getrecommendations! Published in 2019 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-018-0590-4
Abstract: AbstractFiltering based compression methods have become a popular research topic in lossless compression of hyperspectral images. Recursive least squares (RLS) based prediction methods provide better decorrelation performance among the filtering based methods. In this paper,… read more here.
Keywords: recursive least; compression; hyperspectral images; compression hyperspectral ... See more keywords
Missing Output Identification Model Based Recursive Least Squares Algorithm for a Distributed Parameter System
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-016-0606-5
Abstract: This paper proposes a recursive least squares algorithm for a distributed parameter system with missing observations. By using the finite difference method, the distributed parameter system can be turned into a lumped parameter system. Then… read more here.
Keywords: distributed parameter; recursive least; least squares; parameter system ... See more keywords
A generic FPGA-based hardware architecture for recursive least mean p-power extreme learning machine
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.05.069
Abstract: Abstract Recursive least mean p-power extreme learning machine (RLMP-ELM) is a newly proposed online machine learning algorithm and is able to provide a robust online prediction of the datasets with noises of different statistics. To… read more here.
Keywords: recursive least; least mean; hardware architecture; machine ... See more keywords
Echo state kernel recursive least squares algorithm for machine condition prediction
Sign Up to like & getrecommendations! Published in 2018 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2018.03.047
Abstract: Abstract Kernel adaptive filter (KAF) has been widely utilized for time series prediction due to its online adaptation scheme, universal approximation capability and convexity. Nevertheless, KAF’s ability to handle temporal tasks is limited, because it… read more here.
Keywords: state; recursive least; least squares; kernel recursive ... See more keywords
Decomposition-based recursive least-squares parameter estimation algorithm for Wiener-Hammerstein systems with dead-zone nonlinearity
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2017.1320455
Abstract: ABSTRACT In this paper, a decomposition-based recursive least-squares algorithm is proposed for the parameter estimation of Wiener-Hammerstein systems with dead-zone. Based on a smooth parameterisation of the dead-zone nonlinearity, the Wiener-Hammerstein systems with dead-zone can… read more here.
Keywords: recursive least; least squares; systems dead; hammerstein systems ... See more keywords
Parsimonious Kernel Recursive Least Squares Algorithm for Aero-Engine Health Diagnosis
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2882824
Abstract: Kernel adaptive filtering (KAF) has gained widespread popularity among the machine learning community for online applications due to its convexity, simplicity, and universal approximation ability. However, the network generated by KAF keeps growing with the… read more here.
Keywords: recursive least; least squares; health diagnosis; engine ... See more keywords
Partially-Coupled Recursive Least Squares Algorithm for Multivariate Systems Based on the Model Transformation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938322
Abstract: This paper investigates the parameter estimation problem for multivariate output-error systems perturbed by autoregressive noises. To reduce the influence of the colored noises on parameter estimates, we turn the original model into the new model… read more here.
Keywords: recursive least; model transformation; least squares; squares algorithm ... See more keywords
Linear Time-Varying Data Model-Based Iterative Learning Recursive Least Squares Identifications for Repetitive Systems
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2941226
Abstract: In this paper, an iterative learning recursive least squares (ILRLS) identification method is developed by considering a class of repetitive systems. First, considering a repetitive discrete-time system corrupted by white noise, we present a linear… read more here.
Keywords: recursive least; time; least squares; iterative learning ... See more keywords
Recursive Least Squares-Based Adaptive Parameter Estimation Scheme for Signal Transformation and Grid Synchronization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Emerging and Selected Topics in Power Electronics"
DOI: 10.1109/jestpe.2020.2970445
Abstract: Utility-interfaced power electronic systems use a grid synchronizing framework, known as phase-locked loop and need a transformation of sinusoidal signals to rotating dq reference frame for control purposes. The voltage or current signal parameters, including… read more here.
Keywords: recursive least; least squares; signal transformation; estimation scheme ... See more keywords
Exponential Resetting and Cyclic Resetting Recursive Least Squares
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3229868
Abstract: We present two extensions of recursive least squares (RLS) with exponential forgetting (EF), namely, exponential resetting (ER) RLS and cyclic resetting (CR) RLS. Both methods guarantee that the covariance matrix is bounded above and below… read more here.
Keywords: inline formula; excitation; recursive least; tex math ... See more keywords
A Nonquadratic Algorithm Based on the Extended Recursive Least-Squares Algorithm
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2864609
Abstract: In adaptiveg filters, several recursive algorithms have been used to track state-space model vectors in nonstationary environments. So far, kernel recursive algorithms showed the best results in this regard. With this letter, we aim to… read more here.
Keywords: recursive least; least squares; extended recursive; squares algorithm ... See more keywords