Results 221 to 230 of about 49,604 (295)

Set-membership recursive least-squares adaptive filtering algorithm

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
A new set-membership adaptive filtering algorithm is developed based on the exponentially-weighted RLS algorithm with a time-varying forgetting factor that is optimized at each iteration by imposing a bounded-magnitude constraint on the a posteriori filter output error.
Reza Arablouei, Kutluyil Dogancay
openaire   +2 more sources

Numerically stable fast transversal filters for recursive least squares adaptive filtering

IEEE Transactions on Signal Processing, 1991
A solution is proposed to the long-standing problem of the numerical instability of fast recursive least squares transversal filter (FTF) algorithms with exponential weighting, an important class of algorithms for adaptive filtering. A framework for the analysis of the error propagation in FTF algorithms is first developed; within this framework, it is
Dirk T. M. Slock, Thomas Kailath
openaire   +1 more source

Co-estimation of model parameters and state-of-charge for lithium-ion batteries with recursive restricted total least squares and unscented Kalman filter

, 2020
Due to the flawed sensor and the harsh electromagnetic interference in the electric vehicle, the measured current and voltage data can be seriously corrupted by noises, which poses a great challenge to the model-based state-of-charge estimation method ...
Zhu Rui, Bin Duan, Junming Zhang, Qi Zhang, Chenghui Zhang   +4 more
semanticscholar   +1 more source

Optimized Battery Modeling Using Adaptive Forgetting Factor in Recursive Least Squares Algorithm

2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0
Pursuant to the more critical modelling criteria for accuracy, setup effort, computationally complexities, and simplicity of adoption, the Equivalent Circuit Model (ECM) is the recommended option for online applications.
Srikiran Chinta, H. Bhupathi, Swarna Kumari Yeditha, Vijayalaxmi Biradar, Sanjay kumar Suman, L. Bhagyalakshmi   +5 more
semanticscholar   +1 more source

Recursive allpass filter design using least-squares techniques

Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94, 2002
Three methods for the design of recursive allpass filters are presented. In one of these methods, a least-squares error based on the difference between the desired and actual frequency responses is formulated in a quadratic form. In the other methods, a least-squares error based on the difference between the desired and actual phase responses is ...
S. Sunder, V. Ramachandran
openaire   +1 more source

Efficient recursive least-squares adaptive quadratic filters

IEEE International Conference on Systems Engineering, 1989
A recursive least-squares algorithm for the quadratic filter is described which has satisfactory convergence for larger filter lengths while maintaining low computational requirements. A similar least-mean-square (LMS) algorithm is also described. The respective algorithms are based on the so-called normalized recursive least-squares and normalized LMS
openaire   +1 more source

Numerically stable fast recursive least-squares transversal filters

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003
The problem of numerical stability of fast recursive least-squares transversal filter (FTF) algorithms is addressed. The prewindowing case with exponential weighting is considered. A framework for the analysis of the error propagation in these algorithms is developed.
D.T.M. Slock, T. Kailath
openaire   +1 more source

Enhanced online model identification and state of charge estimation for lithium-ion battery under noise corrupted measurements by bias compensation recursive least squares

, 2020
In online battery model identification by recursive least squares (RLS), the identification biases are generated by the noises in the voltage and current measurements, further resulting in the accuracy degradation of model-based state of charge (SOC ...
Liang Yigang, Jiqing Chen, F. Lan
semanticscholar   +1 more source

Sparse direct adaptive equalization based on proportionate recursive least squares algorithm for multiple-input multiple-output underwater acoustic communications.

Journal of the Acoustical Society of America, 2020
In this paper, the sparse direct adaptive equalization based on the recently developed proportionate recursive least squares (PRLS) adaptive filtering algorithm is investigated for multiple-input multiple-output (MIMO) underwater acoustic (UWA ...
Zhen Qin, Jun Tao, Xiao Han
semanticscholar   +1 more source

The filtering-based recursive least squares identification and convergence analysis for nonlinear feedback control systems with coloured noises

International Journal of Systems Science
The coloured noise is ubiquitous in industrial processes. This paper addresses the identification problem for the nonlinear feedback systems with coloured noise. Firstly, a direct identification scheme based on the least squares principle is developed to
Ling Xu, Huan Xu, Chun Wei, Feng Ding, Quanmin Zhu   +4 more
semanticscholar   +1 more source