Suchergebnisse - (( kernel recursive past squares algorithm ) OR ( kernel recursive post squares algorithm ))

Kernel Recursive Maximum Versoria Criterion Based Post-Distorter for VLC Using Kernel-Width Sampling von Jain, Sandesh, Mitra, Rangeet, Krejcar, Ondrej, Nebhen, Jamel, Bhatia, Vimal

“… ) based kernel recursive maximum Versoria criterion (KRMVC) based post-distortion algorithm is proposed, which delivers better performance as compared to the classical polynomial series, and kernel recursive least squares (KRLS …”
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Kernel Recursive Maximum Versoria Criterion Algorithm Using Random Fourier Features von Jain, Sandesh, Mitra, Rangeet, Bhatia, Vimal

“… )-based kernel recursive maximum Versoria criterion (KRMVC) algorithm is proposed. Convergence analysis is presented next for the proposed RFF-KRMVC algorithm as guarantees of the promised …”
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Sparse Sliding-Window Kernel Recursive Least-Squares Channel Prediction for Fast Time-Varying MIMO Systems von Ai, Xingxing, Zhao, Jiayi, Zhang, Hongtao, Sun, Yong

“… The kernel recursive least-squares (KRLS) algorithm, which offers an attractive framework to deal with nonlinear problems, can be used in predicting nonlinear time-varying CSI …”
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Low complexity post-distorter based on extended kernel recursive least squares for visible light communications von Wang, Jieling, Li, Menghan, Shen, Ba-Zhong

“… •The reproducing kernel Hilbert space post-distortion scheme at the receiver.•EX-KRLS can outperform the conventional polynomial, KLMS and KRLS methods …”
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Active impulsive noise control using maximum correntropy with adaptive kernel size von Lu, Lu, Zhao, Haiquan

“… ) algorithm for impulsive noise. Meanwhile, in order to adjust the kernel size of FxRMC algorithm online, a recursive approach is proposed through taking into account the past estimates of error signals over a sliding …”
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Improved PLS algorithms von Dayal, Bhupinder. S., MacGregor, John F.

“… A very fast kernel algorithm for updating PLS models in a recursive manner and for exponentially discounting past data is also presented. © 1997 John Wiley & Sons …”
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Nonlinear adaptive filtering using kernel-based algorithms with dictionary adaptation von Saide, Chafic, Lengelle, Régis, Honeine, Paul, Richard, Cédric, Achkar, Roger

“… Recently, kernel methods have been offering an interesting alternative because they provide a simple extension of linear algorithms to the nonlinear case …”
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Kernel Adaptive Filters With Feedback Based on Maximum Correntropy von Wang, Shiyuan, Dang, Lujuan, Wang, Wanli, Qian, Guobing, Tse, Chi K.

“… This paper presents novel kernel adaptive filters with feedback, namely, kernel recursive maximum correntropy with multiple feedback (KRMC-MF …”
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KRLS post-distorter with adaptive kernel width for visible light communications von Wang, Jieling, Wang, Xinzhi, Shen, Ba-zhong

“… To mitigate the nonlinear impairments, a reproducing kernel Hilbert space post-distortion scheme is proposed in this paper, which is based on kernel recursive least squares (KRLS …”
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FPGA implementation for a recursive least square algorithm von Peng Liang, Sun Guocang, Deng Haihua, Chen Ming

“… A recursive least square algorithm is implemented in this paper. Memory Nonlinearity of digital receiver is compensated by using a blind identification algorithm based on nonlinear model …”
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A Congestion Control Algorithm for Live Video Streaming in Dynamic Network von Pan, Wenqi, Tan, Bin, Hu, Die, Wu, Jun

“… Because the maximum bandwidth in the past period is used to calculate the congestion window (CWND). To address this issue, we develop a recursive …”
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A Variational Bayesian Learning Approach for Nonlinear Acoustic Echo Control von Malik, Sarmad, Enzner, Gerald

“… In this work, we present novel Bayesian algorithms for acoustic echo cancellation and residual echo suppression in the presence of a memoryless loudspeaker nonlinearity …”
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Identification of Influential Features for Diabetes Prediction at Early Stage von Das, Utsha, Ahmed, Boshir

“… In the near past, many machine learning(ML) researchers have studied this field. Unfortunately, most of them were concerned with the improvement of classification …”
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A Novel Adaptive State Detector-Based Post-Filtering Active Control Algorithm for Gaussian Noise Environment with Impulsive Interference von Zhu, Wenzhao, Shi, Shengguo, Luo, Lei, Sun, Jinwei

“… In this work, information entropy with adaptive kernel size is first introduced into the cost function of a post-filtering algorithm to improve its tracking …”
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Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting von Vieira, Rafael, Gomide, Fernando, Ballini, Rosangela

“… ) clustering algorithm and a kernel recursive least squares method (KRLS) for time series forecasting …”
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Post beamforming adaptive second order volterra filter (ASOVF) for pulse-echo ultrasonic imaging von Al-Mistarihi, Mamoun F.

“… ), an optimal minimum-norm least squares algorithm for deriving the coefficients of the linear and quadratic kernels of the SOVF was developed and verified …”
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Parameter Estimation and Application for Static Nonlinear and Dynamic Linear Systems von Ye, Lin

“… During the past several decades, a vast number of methods have been developed for solving different parameter estimation issues in different areas …”
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