An Improved Strong Tracking Variable Forgetting Factor RLS Algorithm with Low Complexity for Dynamic System Identification

2019 IEEE 2nd International Conference on Electronics and Communication Engineering (ICECE) ◽

10.1109/icece48499.2019.9058504 ◽

2019 ◽

Author(s):

Lv Shuhua ◽

Quan Zhi

Keyword(s):

System Identification ◽

Dynamic System ◽

Low Complexity ◽

Forgetting Factor ◽

Rls Algorithm ◽

Variable Forgetting Factor

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Low-complexity correlated time-averaged variable forgetting factor mechanism for diffusion RLS algorithm in sensor networks

2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) ◽

10.1109/sam.2016.7569612 ◽

2016 ◽

Author(s):

Ling Zhang ◽

Yunlong Cai ◽

Chunguang Li ◽

Rodrigo C. de Lamare ◽

Minjian Zhao

Keyword(s):

Sensor Networks ◽

Low Complexity ◽

Forgetting Factor ◽

Rls Algorithm ◽

Variable Forgetting Factor

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A low-complexity variable forgetting factor constant modulus RLS algorithm for blind adaptive beamforming

Signal Processing ◽

10.1016/j.sigpro.2014.06.003 ◽

2014 ◽

Vol 105 ◽

pp. 277-282 ◽

Author(s):

Boya Qin ◽

Yunlong Cai ◽

Benoit Champagne ◽

Rodrigo C. de Lamare ◽

Minjian Zhao

Keyword(s):

Low Complexity ◽

Adaptive Beamforming ◽

Constant Modulus ◽

Forgetting Factor ◽

Rls Algorithm ◽

Blind Adaptive ◽

Variable Forgetting Factor ◽

Factor Constant

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A variable forgetting factor QRD-based RLS algorithm with bias compensation for system identification with input noise

2016 IEEE International Symposium on Circuits and Systems (ISCAS) ◽

10.1109/iscas.2016.7539136 ◽

2016 ◽

Author(s):

H. J. Tan ◽

S. C. Chan ◽

L. Zhang

Keyword(s):

System Identification ◽

Forgetting Factor ◽

Rls Algorithm ◽

Input Noise ◽

Variable Forgetting Factor ◽

Bias Compensation

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Low-Complexity Variable Forgetting Factor Mechanism for Blind Adaptive Constrained Constant Modulus Algorithms

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2012.2199317 ◽

2012 ◽

Vol 60 (8) ◽

pp. 3988-4002 ◽

Author(s):

Yunlong Cai ◽

Rodrigo C. de Lamare ◽

Minjian Zhao ◽

Jie Zhong

Keyword(s):

Low Complexity ◽

Constant Modulus ◽

Forgetting Factor ◽

Blind Adaptive ◽

Variable Forgetting Factor

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Improved-Variable-Forgetting-Factor Recursive Algorithm Based on the Logarithmic Cost for Volterra System Identification

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2016.2531159 ◽

2016 ◽

Vol 63 (6) ◽

pp. 588-592 ◽

Author(s):

Lu Lu ◽

Haiquan Zhao ◽

Badong Chen

Keyword(s):

System Identification ◽

Recursive Algorithm ◽

Forgetting Factor ◽

Volterra System ◽

Variable Forgetting Factor

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Absolute finite differences based variable forgetting factor RLS algorithm

IET Signal Processing ◽

10.1049/sil2.12074 ◽

2021 ◽

Author(s):

Slobodan Drašković ◽

Željko Đurović ◽

Vera Petrović

Keyword(s):

Finite Differences ◽

Forgetting Factor ◽

Rls Algorithm ◽

Variable Forgetting Factor

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Gradient-based variable forgetting factor RLS algorithm in time-varying environments

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2005.851110 ◽

2005 ◽

Vol 53 (8) ◽

pp. 3141-3150 ◽

Author(s):

Shu-Hung Leung ◽

C.F. So

Keyword(s):

Time Varying ◽

Forgetting Factor ◽

Rls Algorithm ◽

Gradient Based ◽

Variable Forgetting Factor ◽

Varying Environments

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Gradient based variable forgetting factor nonlinear RLS algorithm using correlation function with nonzero lags

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.1006009 ◽

2002 ◽

Author(s):

Leung ◽

So

Keyword(s):

Correlation Function ◽

Forgetting Factor ◽

Rls Algorithm ◽

Gradient Based ◽

Variable Forgetting Factor

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Gradient based variable forgetting factor nonlinear RLS algorithm using correlation function with nonzero lags

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.5745809 ◽

2002 ◽

Author(s):

S. H. Leung ◽

C. F. So

Keyword(s):

Correlation Function ◽

Forgetting Factor ◽

Rls Algorithm ◽

Gradient Based ◽

Variable Forgetting Factor

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Gradient-Based Variable Forgetting Factor RLS Algorithm in MIMO-OFDM Channel Estimation

2007 International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2007.123 ◽

2007 ◽

Author(s):

Hai-Yan Lan ◽

Shen-Yuan Yang ◽

Feng Tan ◽

Li-Quan Zhao

Keyword(s):

Channel Estimation ◽

Forgetting Factor ◽

Rls Algorithm ◽

Gradient Based ◽

Mimo Ofdm ◽

Variable Forgetting Factor

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