Výsledky vyhledávání - variable forgetting factor RLS algorithm

  1. 1

    Absolute finite differences based variable forgetting factor RLS algorithm Autor Drašković, Slobodan, Đurović, Željko, Petrović, Vera

    ISSN: 1751-9675, 1751-9683
    Vydáno: John Wiley & Sons, Inc 01.02.2022
    Vydáno v IET signal processing (01.02.2022)
    “… It also includes a suitable procedure for the forgetting factor design in the adaptation process…”
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  2. 2

    A Novel Method for Online Extraction of Small-Angle Scattering Pulse Signals from Particles Based on Variable Forgetting Factor RLS Algorithm Autor Zhang, Rongrui, Zhao, Heng

    ISSN: 1424-8220, 1424-8220
    Vydáno: Basel MDPI AG 26.08.2021
    Vydáno v Sensors (Basel, Switzerland) (26.08.2021)
    “…) strategy is introduced to optimize the forgetting factor in the traditional RLS algorithm…”
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  3. 3

    Gradient-based variable forgetting factor RLS algorithm in time-varying environments Autor Shu-Hung Leung, So, C.F.

    ISSN: 1053-587X, 1941-0476
    Vydáno: New York, NY IEEE 01.08.2005
    “…In this paper, a new control mechanism for the variable forgetting factor (VFF) of the recursive least square (RLS…”
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  4. 4

    Improved Variable Forgetting Factor Proportionate RLS Algorithm with Sparse Penalty and Fast Implementation Using DCD Iterations Autor Zhen, Han, Fengrui, Zhang, Yu, Zhang, Yanfeng, Han, Peng, Jiang

    ISSN: 1673-5447
    Vydáno: China Institute of Communications 01.10.2024
    Vydáno v China communications (01.10.2024)
    “… In this paper, we propose a variable forgetting factor (VFF) PRLS algorithm with a sparse penalty, e.g…”
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  5. 5

    A New Local Polynomial Modeling-Based Variable Forgetting Factor RLS Algorithm and Its Acoustic Applications Autor Chu, Y. J., Chan, S. C.

    ISSN: 2329-9290, 2329-9304
    Vydáno: Piscataway IEEE 01.11.2015
    “…This paper proposes a new class of local polynomial modeling (LPM)-based variable forgetting factor (VFF…”
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  6. 6

    Numeric Variable Forgetting Factor RLS Algorithm for Second-Order Volterra Filtering Autor Kohli, Amit Kumar, Rai, Amrita

    ISSN: 0278-081X, 1531-5878
    Vydáno: Boston SP Birkhäuser Verlag Boston 01.02.2013
    “…) are widely used for the identification of nonlinearities in many applications. In this correspondence, the improved tracking capability of a numeric variable forgetting factor recursive least squares (NVFF-RLS…”
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  7. 7

    Variable Forgetting Factor RLS Algorithm-Based Channel Estimator for MC-IDMA Communication Systems Autor Oyerinde, Olutayo Oyeyemi, Mneney, Stanley Henry

    ISSN: 0929-6212, 1572-834X
    Vydáno: New York Springer US 01.07.2015
    Vydáno v Wireless personal communications (01.07.2015)
    “… A variable forgetting factor-recursive least mean square (VFF-RLS) algorithm is proposed for channel impulse response (CIR…”
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  8. 8

    A New Variable Forgetting Factor-Based Bias-Compensated RLS Algorithm for Identification of FIR Systems With Input Noise and Its Hardware Implementation Autor Tan, Hai Jun, Chan, Shing Chow, Lin, Jian Qiang, Sun, Xu

    ISSN: 1549-8328, 1558-0806
    Vydáno: New York IEEE 01.01.2020
    “…This paper proposes a new variable forgetting factor QRD-based recursive least squares algorithm with bias compensation (VFF-QRRLS-BC…”
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  9. 9

    A low-complexity variable forgetting factor constant modulus RLS algorithm for blind adaptive beamforming Autor Qin, Boya, Cai, Yunlong, Champagne, Benoit, de Lamare, Rodrigo C., Zhao, Minjian

    ISSN: 0165-1684, 1872-7557
    Vydáno: Amsterdam Elsevier B.V 01.12.2014
    Vydáno v Signal processing (01.12.2014)
    “…In this paper, a recursive least squares (RLS) based blind adaptive beamforming algorithm that features a new variable forgetting factor (VFF…”
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  10. 10

    Parameter identification of a lithium-ion battery based on the improved recursive least square algorithm Autor Ren, Biying, Xie, Chenxue, Sun, Xiangdong, Zhang, Qi, Yan, Dan

    ISSN: 1755-4535, 1755-4543
    Vydáno: The Institution of Engineering and Technology 16.09.2020
    Vydáno v IET power electronics (16.09.2020)
    “…) algorithm is discussed firstly. The reason for the RLS algorithm affecting the accuracy and rapidity of model parameter identification is pointed…”
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  11. 11

    Gradient based variable forgetting factor RLS algorithm Autor So, C.F., Ng, S.C., Leung, S.H.

    ISSN: 0165-1684, 1872-7557
    Vydáno: Amsterdam Elsevier B.V 01.06.2003
    Vydáno v Signal processing (01.06.2003)
    “…An accurate new variable forgetting factor recursive least-square adaptive algorithm is derived…”
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  12. 12

    An Improved Harmonic Current Detection Method Based on Variable Forgetting Factor RLS Algorithm Autor Vu, Minh Guang, Li, Yun Lu, Wang, Da Zhi, Han, Wei

    ISBN: 9783037856345, 3037856343
    ISSN: 1660-9336, 1662-7482, 1662-7482
    Vydáno: Zurich Trans Tech Publications Ltd 13.02.2013
    Vydáno v Applied Mechanics and Materials (13.02.2013)
    “… To improve both of them, a harmonic current detection algorithm based on variable forgetting factor Recursive Least-Squares algorithm is presented…”
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  13. 13

    A novel adaptive variable forgetting factor RLS algorithm Autor Li, Kai, Xiao, Jun, Xie, JinFang, Wu, RuiQi

    Vydáno: IEEE 01.10.2022
    “… The algorithm overcomes the conflict problem of steady-state performance and dynamic performance of the fixed forgetting factor RLS algorithm…”
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  14. 14

    Tracking Voltage Flicker Envelope Using Cumalant-Based RLS Algorithm with Variable Forgetting Factor Autor Chen, Han, Chen, Xiao Dong, Liu, Miao, Jin, Xiao Ming, Qu, Zu Yi, Ma, Qian, Li, Da Lu

    ISBN: 9783037855928, 3037855924
    ISSN: 1660-9336, 1662-7482, 1662-7482
    Vydáno: Zurich Trans Tech Publications Ltd 01.01.2013
    Vydáno v Applied Mechanics and Materials (01.01.2013)
    “…The cumalant-based RLS algorithm with variable forgetting factor is introduced in this paper as effective approach for tracking the voltage flicker envelope…”
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  15. 15

    A Variable Forgetting Factor RLS-CMA Algorithm Based on Decision Directed Scheme Autor Wang, Kangkang, Feng, Yang, Lin, Bin

    ISSN: 2576-7828
    Vydáno: IEEE 18.10.2024
    “…In response to the severe distortion of the transmitted signal due to phase rotation after convergence of the RLS-CMA blind equalisation algorithm, a variable forgetting factor RLS-CMA algorithm based…”
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  16. 16

    Low-complexity correlated time-averaged variable forgetting factor mechanism for diffusion RLS algorithm in sensor networks Autor Ling Zhang, Yunlong Cai, Chunguang Li, de Lamare, Rodrigo C., Minjian Zhao

    ISSN: 2151-870X
    Vydáno: IEEE 01.07.2016
    “…In this work, we present the low-complexity variable forgetting factor (VFF) technique for the diffusion recursive least squares (RLS) algorithm…”
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  17. 17

    A novel adaptive variable forgetting factor RLS algorithm Autor Maras, Meryem, Ayvaz, Elif Nur, Ozen, Ali

    Vydáno: IEEE 01.05.2018
    “… In this paper, a new adaptive variable forgetting factor RLS (AVFF-RLS) algorithm based on the autocorrelation of the error signal has been proposed to increase the convergence speed and performance of the RLS algorithm…”
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  18. 18

    An Improved Strong Tracking Variable Forgetting Factor RLS Algorithm with Low Complexity for Dynamic System Identification Autor Shuhua, Lv, Zhi, Quan

    Vydáno: IEEE 01.12.2019
    “… The basic idea is to apply dichotomous coordinate descent (DCD) and a practical variable forgetting factor (VFF) RLS algorithms…”
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  19. 19

    A Decomposition-Based RLS Algorithm with Variable Forgetting Factors Autor Elisei-Iliescu, Camelia, Paleologu, Constantin, Benesty, Jacob, Stanciu, Cristian, Anghel, Cristian, Ciochina, Silviu

    Vydáno: IEEE 01.06.2020
    “…The performance of the recursive least-squares (RLS) algorithm is mainly controlled by the forgetting factor…”
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  20. 20

    Low-complexity variable forgetting factor constant modulus RLS-based algorithm for blind adaptive beamforming Autor Boya Qin, Yunlong Cai, Champagne, Benoit, Minjian Zhao, Yousefi, Siamak

    ISSN: 1058-6393
    Vydáno: IEEE 01.11.2013
    “…In this paper, we propose a novel low-complexity variable forgetting factor (VFF) mechanism to enhance the performance of recursive least squares…”
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