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

Quaternion kernel recursive least-squares algorithm von Wang, Gang, Qiao, Jingci, Xue, Rui, Peng, Bei

“… In this paper, we study a kernel recursive least squares (KRLS) algorithm in the quaternion domain …”
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An adaptive fuzzy predictive control of nonlinear processes based on Multi-Kernel least squares support vector regression von Boulkaibet, I., Belarbi, K., Bououden, S., Chadli, M., Marwala, T.

“… –Sugeno system based Multi-Kernel Least Squares Support Vector Regression (TS-LSSVR). The proposed adaptive TS-LSSVR strategy is constructed using a multi-kernel least …”
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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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Recursive least squares projection twin support vector machines for nonlinear classification von Ding, Shifei, Hua, Xiaopeng

“… During the last few years, multiple surface classification (MSC) algorithms, such as projection twin support vector machine (PTSVM …”
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The Kernel Conjugate Gradient Algorithms von Zhang, Ming, Wang, Xiaojian, Chen, Xiaoming, Zhang, Anxue

“… Various kernel-based algorithms have been proposed over the last two decades. In this paper, we investigate the kernel conjugate gradient (KCG …”
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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 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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SOC-SOH estimation method for lithium iron phosphate battery considering energy storage operating conditions and current mutation detection von Xie, Jun, Ma, Xiaojian, Zhang, Yutong, Wang, Chunxin, Xie, Qing

“… On this basis, the initial values of the forgetting factor recursive least squares (FFRLS) algorithm …”
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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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Adaptive Strassen and ATLAS's DGEMM: a fast square-matrix multiply for modern high-performance systems von D'Alberto, P., Nicolau, A.

“… We present a recursive algorithm achieving up to 30% speed-up versus ATLAS alone. We show experimental results for 14 different systems …”
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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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Neural based RSPN multi-agent strategy for biped motion control von Khoukhi, Amar

“… (On-line Augmented Integration of Gradient and Last Sguare method) – RSPN (Recursive Stochastic Petri Nets) strategy …”
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Elastic Characteristic Extraction Method of Underwater Target Based on Adaptive Filtering von Zhen-Shan Wang, Yun-Fei Chen, Gui-Juan Li, Ji-Hui Wang

“… is introduced.The kernel of the method is the recursive least square (RLS) algorithm.Firstly,the geometric scattering signal is fit by using the echo signal and the incident …”
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