Suchergebnisse - Extended kernel RLS algorithm
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A novel extended kernel recursive least squares algorithm
ISSN: 0893-6080, 1879-2782, 1879-2782Veröffentlicht: United States Elsevier Ltd 01.08.2012Veröffentlicht in Neural networks (01.08.2012)“… In this paper, a novel extended kernel recursive least squares algorithm is proposed combining the kernel recursive least squares algorithm and the Kalman filter or its extensions to estimate or predict signals …”
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A Novel Kalman Filter Formulation for Improving Tracking Performance of the Extended Kernel RLS
ISSN: 0278-081X, 1531-5878Veröffentlicht: New York Springer US 01.03.2021Veröffentlicht in Circuits, systems, and signal processing (01.03.2021)“… In this paper, two contributions are presented. Firstly, a novel variant of the Kalman filter is developed and used to improve the tracking performance of the extended kernel recursive least squares algorithm (Ex-KRLS …”
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A Nonquadratic Algorithm Based on the Extended Recursive Least-Squares Algorithm
ISSN: 1070-9908, 1558-2361Veröffentlicht: New York IEEE 01.10.2018Veröffentlicht in IEEE signal processing letters (01.10.2018)“… So far, kernel recursive algorithms showed the best results in this regard. With this letter, we aim to propose an algorithm based on a nonlinear function of the error, motivated by the extended recursive least-squares algorithm …”
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Extended Kernel Recursive Least Squares Algorithm
ISSN: 1053-587X, 1941-0476Veröffentlicht: New York, NY IEEE 01.10.2009Veröffentlicht in IEEE transactions on signal processing (01.10.2009)“… ) algorithm which implements for the first time a general linear state model in reproducing kernel Hilbert spaces (RKHS …”
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Robust Regularized Kernel Regression
ISSN: 1083-4419, 1941-0492, 1941-0492Veröffentlicht: United States IEEE 01.12.2008Veröffentlicht in IEEE transactions on systems, man and cybernetics. Part B, Cybernetics (01.12.2008)“… Most previous work of robust kernel regression is usually formulated into a dual form, which is then solved by some quadratic program solver consequently …”
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A Pipeline for Adaptive Filtering and Transformation of Noisy Left-Arm ECG to Its Surrogate Chest Signal
ISSN: 2079-9292, 2079-9292Veröffentlicht: Basel MDPI AG 01.05.2020Veröffentlicht in Electronics (Basel) (01.05.2020)“… (RLS), and extended kernel RLS (EKRLS) in removing white (W), power line interference (PLI …”
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A robust diffusion recursive generalized modified Blake-Zisserman algorithm for distributed estimation under an adaptive kernel width
ISSN: 0165-1684, 1872-7557Veröffentlicht: Elsevier B.V 01.08.2023Veröffentlicht in Signal processing (01.08.2023)“… •A D-RGMBZ is proposed with adaptive kernel width in non-stationary environments.•Performance analysis are discussed theoretically …”
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A novel extended kernel recursive least squares algorithm: Selected Papers from IJCNN 2011
ISSN: 0893-6080Veröffentlicht: Kidlington Elsevier 2012Veröffentlicht in Neural networks (2012)Volltext
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A Unified Approach to Structured Covariances: Fast Generalized Sliding Window RLS Recursions for Arbitrary Basis
ISSN: 1053-587X, 1941-0476Veröffentlicht: New York, NY IEEE 01.12.2013Veröffentlicht in IEEE transactions on signal processing (01.12.2013)“… ) data structure induced and show that fast fixed order and order recursive RLS algorithms can still be obtained for unwindowed data matrices exhibiting a fixed arbitrary relation between successive regressors …”
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Recursive Minimum Complex Kernel Risk-Sensitive Loss Algorithm
ISSN: 1099-4300, 1099-4300Veröffentlicht: Basel MDPI AG 25.11.2018Veröffentlicht in Entropy (Basel, Switzerland) (25.11.2018)“… Therefore, in this paper we propose a recursive complex KRSL algorithm called the recursive minimum complex kernel risk-sensitive loss (RMCKRSL …”
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Unsupervised non-parametric kernel learning algorithm
ISSN: 0950-7051, 1872-7409Veröffentlicht: Elsevier B.V 01.05.2013Veröffentlicht in Knowledge-based systems (01.05.2013)“… ) to learn non-parametric kernels efficiently. The proposed algorithm enjoys a closed-form solution in each iteration, which can be efficiently computed by the Lanczos sparse eigen-decomposition technique …”
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Extended Random Fourier Features Recursive Non-quadratic Algorithm
Veröffentlicht: IEEE 01.01.2019Veröffentlicht in 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT) (01.01.2019)“… The extended recursive non-quadratic (EX-RNQ) algorithm can improve the filtering performance of the extended recursive least-squares (EX-RLS …”
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LMS/LMF and RLS Volterra system identification based on nonlinear Wiener model
ISBN: 9780780344556, 0780344553Veröffentlicht: IEEE 1998Veröffentlicht in 1998 IEEE International Symposium on Circuits and Systems (1998)“… This result can also be extended easily to LMF algorithm family. If we apply RLS, the faster convergence speed can be expected …”
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Estimation of polynomial frequency modulation law for FM signals based on modified Extended Generalized Chirp Transform
Veröffentlicht: IEEE 01.09.2017Veröffentlicht in 2017 Signal Processing Symposium (SPSympo) (01.09.2017)“… In the paper the parameter estimation of the polynomial frequency law via estimation of parameters A = [a 1 , a 2 , a p ] of a polynomial phase signal (PPS) is …”
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A Congestion Control Algorithm for Live Video Streaming in Dynamic Network
ISSN: 2693-8928Veröffentlicht: IEEE 28.06.2024Veröffentlicht in IEEE International Conference on Cyber Security and Cloud Computing (CSCloud) (Online) (28.06.2024)“… a challenge to traditional TCP congestion control algorithms. As a representative TCP algorithm, BBR has been widely used in industry …”
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Long-Term Learning for Adaptive Underwater UXO Classification
ISBN: 9798438793885Veröffentlicht: ProQuest Dissertations & Theses 01.01.2022“… Classification of underwater objects such as unexploded ordnances (UXO) and mines from sonar datasets poses a difficult problem. Among factors that complicate …”
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Dissertation

