Suchergebnisse - "recursive least-squares algorithms"

Hierarchical recursive least squares algorithms for Hammerstein nonlinear autoregressive output‐error systems von Kang, Zhen, Ji, Yan, Liu, Ximei

“… parameters related to the noise model. A hierarchical recursive least squares algorithm is proposed based on the hierarchical identification principle for interactively identifying each subsystem …”
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Data-Reuse Recursive Least-Squares Algorithms von Paleologu, Constantin, Benesty, Jacob, Ciochina, Silviu

“… There are different strategies to improve the overall performance of the recursive least-squares (RLS) adaptive filter. In this letter, we focus on the …”
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Zero-Attracting Recursive Least Squares Algorithms von Hong, Xia, Gao, Junbin, Chen, Sheng

“… In this paper, two zeroattracting recursive least squares algorithms, which are referred to as ZA-RLS-I and ZA-RLS-II, are derived by employing the l 1 -norm of the parameter vector constraint …”
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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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Detection of abnormal photovoltaic systems’ operation with minimum data requirements based on Recursive Least Squares algorithms von Laguna, Gerard, Moreno, Pablo, Cipriano, Jordi, Mor, Gerard, Gabaldón, Eloi, Luna, Alvaro

“… In the last years, the massive deployment of new photovoltaic (PV) power plants has launched the connection of PV inverters to the electrical network. A single …”
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Nonlinear acoustic echo cancellation using low-complexity low-rank recursive least-squares algorithms von Patel, Vinal, Bhattacharjee, Sankha Subhra, Jensen, Jesper Rindom, Christensen, Mads Græsbøll, Benesty, Jacob

“… Adaptive exponential functional link networks (AEFLN) are a type of linear-in-the-parameter nonlinear filters, which have shown enhanced modeling capability …”
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Robust Data-Reuse Regularized Recursive Least-Squares Algorithms for System Identification Applications von Otopeleanu, Radu-Andrei, Paleologu, Constantin, Benesty, Jacob, Dogariu, Laura-Maria, Stanciu, Cristian-Lucian, Ciochină, Silviu

“… The recursive least-squares (RLS) algorithm stands out as an appealing choice in adaptive filtering applications related to system identification problems …”
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Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control von Martinek, Radek, Rzidky, Jaroslav, Jaros, Rene, Bilik, Petr, Ladrova, Martina

“… This paper deals with the use of least mean squares (LMS, NLMS) and recursive least squares (RLS) algorithms for total harmonic distortion (THD) reduction …”
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Recursive Least-Squares Algorithms for the Identification of Low-Rank Systems von Elisei-Iliescu, Camelia, Paleologu, Constantin, Benesty, Jacob, Stanciu, Cristian, Anghel, Cristian, Ciochina, Silviu

“… The recursive least-squares (RLS) adaptive filter is an appealing choice in many system identification problems. The main reason behind its popularity is its …”
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The Nearest-Instance-Centroid-Estimation Kernel Recursive Least Squares Algorithms von Zhang, Haonan, Wang, Lin, Zhang, Tao, Wang, Shiyuan

“… The nearest-instance-centroid-estimation kernel least mean-square (NICE-KLMS) algorithm has been proposed to balance the time and space requirements in kernel …”
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Efficient recursive least-squares algorithms for the identification of bilinear forms von Elisei-Iliescu, Camelia, Stanciu, Cristian, Paleologu, Constantin, Benesty, Jacob, Anghel, Cristian, Ciochină, Silviu

“… •In this paper, we focus on the recursive least-squares algorithm for bilinear forms, i.e., RLS-BF …”
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Direct adaptive equalization based on fast sparse recursive least squares algorithms for multiple-input multiple-output underwater acoustic communications von Qin, Zhen, Tao, Jun, Wang, Xiaoyan, Luo, Xinwei, Han, Xiao

“… The sparse direct adaptive equalizer (DAE) has recently attracted much attention in underwater acoustic (UWA) communications for its improved performance …”
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A Class of Weighted Quantized Kernel Recursive Least Squares Algorithms von Wang, Shiyuan, Wang, Wanli, Duan, Shukai

“… In this brief, a class of weighted quantized kernel recursive least squares (WQKRLS) algorithms is proposed to efficiently improve the performance of online …”
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Recursive Least-Squares algorithms for sparse system modeling von Yazdanpanah, Hamed, Diniz, Paulo S. R.

“… In this paper, we propose some sparsity aware algorithms, namely the Recursive least-Squares for sparse systems (S-RLS) and l 0 -norm Recursive least-Squares …”
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Low-complexity variable forgetting factor mechanism for recursive least-squares algorithms in interference suppression applications von Cai, Yunlong, de Lamare, Rodrigo C

“… In this work, the authors propose a low-complexity variable forgetting factor (VFF) mechanism for recursive least-squares algorithms in interference suppression applications …”
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Fixed-Point Implementation of Fast QR-Decomposition Recursive Least-Squares Algorithms (FQRD-RLS): Stability Conditions and Quantization Errors Analysis von Shoaib, Mobien, Alshebeili, Saleh

“… The fast QR-decomposition based recursive least-squares (FQRD-RLS) algorithms offer RLS-like convergence and misadjustment at a lower computational cost, and …”
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Graph Kernel Recursive Least-Squares Algorithms von Gogineni, Vinay Chakravarthi, Naumova, Valeriya, Werner, Stefan, Huang, Yih-Fang

“… This paper presents graph kernel adaptive filters that model nonlinear input-output relationships of streaming graph signals. To this end, we propose …”
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New recursive-least-squares algorithms for nonlinear active control of sound and vibration using neural networks von Bouchard, M.

“… Some recursive-least-squares algorithms were also introduced, using the adjoint approach. In this paper, an heuristic procedure is introduced for the development of recursive …”
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A comparative study of three recursive least-squares algorithms for single-tone frequency tracking von So, H.C.

“… Modified covariance, Pisarenko harmonic decomposition and reformed Pisarenko harmonic decomposition methods are three closed form frequency estimators, which …”
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Adaptive Widely Linear Reduced-Rank Beamforming Based on Joint Iterative Optimization von Nuan Song, Alokozai, Waheed Ullah, de Lamare, Rodrigo C., Haardt, Martin

“… We develop an augmented recursive least squares algorithm and present an improved structured version with a much more efficient implementation …”
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