Suchergebnisse - "kernel recursive least squares algorithm"
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The Nearest-Instance-Centroid-Estimation Kernel Recursive Least Squares Algorithms
ISSN: 1549-7747, 1558-3791Veröffentlicht: New York IEEE 01.07.2020Veröffentlicht in IEEE transactions on circuits and systems. II, Express briefs (01.07.2020)“… The nearest-instance-centroid-estimation kernel least mean-square (NICE-KLMS) algorithm has been proposed to balance the time and space requirements in kernel …”
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Prediction of Time Series Empowered with a Novel SREKRLS Algorithm
ISSN: 1546-2226, 1546-2218, 1546-2226Veröffentlicht: Henderson Tech Science Press 2021Veröffentlicht in Computers, materials & continua (2021)“… For the unforced dynamical non-linear statespace model, a new Q1 and efficient square root extended kernel recursive least square estimation algorithm is …”
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A New Sparse Kernel RLS Algorithm for Identification of Nonlinear Systems
ISSN: 2169-3536, 2169-3536Veröffentlicht: Piscataway IEEE 2021Veröffentlicht in IEEE access (2021)“… The sliding window kernel recursive least squares (SW-KRLS) algorithm has been widely used in system identification because of its simple structure, low …”
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Kernel Recursive Least Squares Based Cancellation of Second-Order Intermodulation Distortion
ISSN: 2576-2303Veröffentlicht: IEEE 01.11.2020Veröffentlicht in Conference record - Asilomar Conference on Signals, Systems, & Computers (01.11.2020)“… Due to the non-ideal components in the analog front-end of frequency division duplex transceivers a part of the transmit signal leaks into the receive path …”
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Kernel Recursive Least Squares Algorithm for Transmitter-Induced Self-Interference Cancellation
ISSN: 2577-2465Veröffentlicht: IEEE 01.04.2021Veröffentlicht in IEEE Vehicular Technology Conference (01.04.2021)“… In order to enable frequency-division duplex operation, radio frequency transceivers usually employ a spectral isolation between transmitter and receiver. Due …”
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Sparse KELM Online Prediction Model Based on Forgetting Factor
Veröffentlicht: IEEE 20.11.2020Veröffentlicht in 2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) (20.11.2020)“… In the process of online prediction of nonstationary time series by kernel extreme learning machine (KELM), two problems appear that the order of kernel matrix …”
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Experimental Demonstration of 503.61-Gbit/s DMT over 10-km 7-Core Fiber with 1.5-\mu\mathrm SM-VCSEL for Optical Interconnects
Veröffentlicht: IEEE 01.09.2018Veröffentlicht in 2018 European Conference on Optical Communication (ECOC) (01.09.2018)“… We experimentally demonstrate a net-rate 503.61-Gbit/s discrete multitone (DMT) transmission over 10-km 7-core fiber with 1.5-\mu m single mode VCSEL, where …”
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Kernel Recursive Least‐Squares Algorithm
ISBN: 9780470447536, 0470447532Veröffentlicht: Hoboken, NJ, USA John Wiley & Sons, Inc 12.02.2010Veröffentlicht in Kernel Adaptive Filtering: A Comprehensive Introduction (12.02.2010)“… This chapter contains sections titled: Recursive Least‐Squares Algorithm Exponentially Weighted Recursive Least‐Squares Algorithm Kernel Recursive …”
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EXTENDED KERNEL RECURSIVE LEAST-SQUARES ALGORITHM
ISBN: 9780470447536, 0470447532Veröffentlicht: United States Wiley 2011Veröffentlicht in Kernel Adaptive Filtering (2011)“… This chapter contains sections titled: Extended Recursive Least Squares Algorithm Exponentially Weighted Extended Recursive Least Squares Algorithm Extended …”
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The short-term load forecasting using the kernel recursive least-squares algorithm
ISBN: 1424464951, 9781424464951ISSN: 1948-2914Veröffentlicht: IEEE 01.10.2010Veröffentlicht in 2010 3rd International Conference on Biomedical Engineering and Informatics (01.10.2010)“… This paper presents a new approach for short-term load forecasting problem based on the kernel recursive least-square algorithm (KRLS). The kernel recursive …”
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Anisotropic Channel Equalization using optimized clustering and Kalman-HMM trained ADALINE
Veröffentlicht: IEEE 16.03.2023Veröffentlicht in 2023 4th International Conference on Computing and Communication Systems (I3CS) (16.03.2023)“… Artificial feature extraction models evolving around adaptive computational decisions which involve spectrum analysis and channel estimation for dedicated …”
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