Suchergebnisse - "recursive least‐squares algorithms"

Robust Distributed Diffusion Recursive Least Squares Algorithms With Side Information for Adaptive Networks von Yu, Yi, Zhao, Haiquan, de Lamare, Rodrigo C., Zakharov, Yuriy, Lu, Lu

“… This work develops robust diffusion recursive least-squares algorithms to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise …”
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Study of Robust Diffusion Recursive Least Squares Algorithms with Side Information for Networked Agents von Y Yu, de Lamare, R C, Zakharov, Y

“… This work develops a robust diffusion recursive least squares algorithm to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise …”
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A Fast Robust Recursive Least-Squares Algorithm von Vega, L.R., Rey, H., Benesty, J., Tressens, S.

“… The algorithm is the result of minimizing a cost function subject to a time-dependent constraint on the norm of the filter update …”
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Recursive identification for Wiener non-linear systems with non-stationary disturbances von Dong, Shijian, Yu, Li, Zhang, Wen-An, Chen, Bo

“… Utilising the forgetting factor (FF) and the auxiliary model strategy, a discrete-time recursive least-squares algorithm is designed by augmenting the parameter vector and the information vector …”
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System Identification Using Adaptive Filter with Recursive Least Squares Algorithm von Mohammed, Mahboob Khan

“… The output from both systems is subject to summation and the error is fed back to adaptive filter where the RLS algorithm updates the filter coefficients and the process is repeated …”
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Modeling of adaptations to physical training by using a recursive least squares algorithm von Busso, T, Denis, C, Bonnefoy, R, Geyssant, A, Lacour, J R

“… Data for two subjects who undertook a 14-wk training on a cycle ergometer were used to test the proposed model, and the results were compared with a model with time-invariant parameters …”
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Data-driven recursive least squares methods for non-affined nonlinear discrete-time systems von Lin, Na, Chi, Ronghu, Huang, Biao

“… Aiming at identifying nonlinear systems, one of the most challenging problems in system identification, a class of data-driven recursive least squares algorithms are presented in this work …”
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Recursive least squares with linear inequality constraints von Engel, Konrad, Engel, Sebastian

“… A new recursive algorithm for the least squares problem subject to linear equality and inequality constraints is presented …”
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Blind Adaptive and Iterative Algorithms for Decision-Feedback DS-CDMA Receivers in Frequency-Selective Channels von de Lamare, Rodrigo C., Sampaio-Neto, Raimundo

“… Computationally efficient blind adaptive stochastic gradient and recursive least squares algorithms are developed for estimating the parameters of DF detectors along with successive, parallel …”
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Adaptive autoregressive modeling used for single-trial EEG classification von Schlögl, A, Flotzinger, D, Pfurtscheller, G

“… For the estimation of the AAR parameters, the Least-mean-squares and the Recursive-least-squares algorithms are compared …”
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Recursive identification of Hammerstein systems with dead-zone input nonlinearity von Dong, Shijian, Yu, Li, Zhang, Wen-An, Yang, Xusheng

“… Based on the decoupling estimation theory and overparameterized method, two improved recursive least squares algorithms are constructed to estimate the model parameters and disturbance sequence …”
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Improved training of neural networks for the nonlinear active control of sound and vibration von Bouchard, M., Paillard, B., Chon Tan Le Dinh

“… Active control of sound and vibration has been the subject of a lot of research, and examples of applications are now numerous …”
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Dynamic inversion- and neural network- based five-stage cascaded control for automatic carrier landing subject to multiple disturbances and uncertainties von Lungu, Mihai, Chen, Mou, Ebrahimpour, MohammadReza, Guo, Hongzhen

“… ), radial basis function neural networks (RBFNNs) for the estimation of the parametric uncertainties, a block based on a recursive least squares algorithm …”
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Study of Robust Distributed Diffusion RLS Algorithms with Side Information for Adaptive Networks von Y Yu, Zhao, H, de Lamare, R C, Zakharov, Y, L Lu

“… This work develops robust diffusion recursive least squares algorithms to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise …”
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Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances von Dong, Shijian, Yu, Li, Zhang, Wen-An, Chen, Bo

“… •A hierarchical recursive least squares algorithm with forgetting factors is designed in discrete-time domain by using the auxiliary model scheme …”
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Pixel History Linear Models for Real-Time Temporal Filtering von Iglesias-Guitian, Jose A., Moon, Bochang, Koniaris, Charalampos, Smolikowski, Eric, Mitchell, Kenny

“… Our method can address both spatial and temporal aliasing problems under a unique filtering framework that minimizes filtering error through a recursive least squares algorithm …”
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Robust extended recursive least squares identification algorithm for Hammerstein systems with dynamic disturbances von Dong, Shijian, Yu, Li, Zhang, Wen-An, Chen, Bo

“… By extending the parameter and information vector, an extended recursive least squares algorithm is proposed first time to identify recursively both the system parameters and dynamic disturbance …”
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Directional Forgetting for Stable Co-Adaptation in Myoelectric Control von Yeung, Dennis, Farina, Dario, Vujaklija, Ivan

“… to the recursive least-squares algorithm as opposed to the classic …”
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Wearable Integrated Online Fusion Learning Filter for Heart PPG Sensing Tracking von Wen, Houlai, Gao, Bin, Yang, Daili, Zhang, Yiwei, Huang, Liwei, Woo, Wai Lok

“… Due to the subject's voluntary or involuntary movement, it is difficult to collect ideal photoplethysmography (PPG …”
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A Robotic Lower Limb Prosthesis for Efficient Bicycling von Lawson, Brian E., Ledoux, Elissa D., Goldfarb, Michael

“… The controller continuously estimates the lengths of a four-bar linkage model through the application of a recursive least squares algorithm …”
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