Suchergebnisse - regularised fast recursive algorithm

A regularised fast recursive algorithm for fraction model identification of nonlinear dynamic systems von Zhang, Li, Li, Kang, Du, Dajun, Li, Yihuan, Fei, Minrui

“… To accurately identify the fraction model is however challenging, and this paper presents a regularised fast recursive algorithm (RFRA …”
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Regularized fast recursive least squares algorithms for finite memory filtering von Houacine, A.

“… Novel fast recursive least squares algorithms are developed for finite memory filtering, by using a sliding data window …”
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Regularized fast recursive least squares algorithms for adaptive filtering von Houacine, A.

“… Fast recursive least squares (FRLS) algorithms are developed by using factorization techniques which represent an alternative way to the geometrical projections approach or the matrix-partitioning-based derivations …”
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Regularized fast recursive least squares algorithms von Houacine, A.

“… Chandrasekhar type factorization is used to develop new fast recursive least squares (FRLS …”
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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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A Data-Reuse Regularized Recursive Least-Squares Adaptive Filtering Algorithm von Otopeleanu, Radu, Dogariu, Laura-Maria, Stanciu, Cristian-Lucian, Paleologu, Constantin, Benesty, Jacob, Ciochina, Silviu

“… The recursive least-squares (RLS) algorithm is very popular for adaptive filtering applications, mainly due to its fast convergence rate …”
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Full-Wave Three-Dimensional Microwave Imaging With a Regularized Gauss-Newton Method- Theory and Experiment von De Zaeytijd, J., Franchois, A., Eyraud, C., Geffrin, J.-M.

“… The algorithm combines a modified Gauss-Newton optimization method with a computationally efficient forward solver, based on the fast Fourier transform method and the marching-on-in-source-position …”
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Engine fault detection using a nonlinear FIR model and a locally regularised recursive algorithm von Jing Deng, Irwin, G.W, Kang Li

“… This paper utilizes the recently developed locally regularised fast recursive algorithm (LRFR) to build a nonlinear finite impulse response …”
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A novel locally regularized automatic construction method for RBF neural models von Du, Dajun, Li, Xue, Fei, Minrui, Irwin, George W.

“… This is achieved by proposing a locally regularized automatic construction (LRAC) method which combines a recently proposed fast recursive algorithm (FRA …”
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Inverse-Free Incremental Learning Algorithms With Reduced Complexity for Regularized Extreme Learning Machine von Zhu, Hufei, Wu, Yanpeng

“… ) was based on an inverse-free algorithm to update the regularized pseudo-inverse, which was deduced from an inverse-free recursive algorithm to update the inverse of a Hermitian matrix …”
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Fast ℓ1-recursive total least squares algorithm for sparse system identification von Lim, Junseok

“… (the error-in-variables problem). This paper proposes a fast ℓ1-regularized recursive total least squares (fast ℓ1-RTLS …”
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Pairwise Optimal Weight Realization-Acceleration Technique for Set-Theoretic Adaptive Parallel Subgradient Projection Algorithm von Yukawa, M., Yamada, I.

“… The adaptive parallel subgradient projection (PSP) algorithm was proposed in 2002 as a set-theoretic adaptive filtering algorithm providing fast and stable …”
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A Practical Regularized Recursive Least-Squares Algorithm for Robust System Identification von Otopeleanu, Radu-Andrei, Benesty, Jacob, Paleologu, Constantin, Stanciu, Cristian-Lucian, Dogariu, Laura-Maria, Ciochina, Silviu

“… The recursive least-squares (RLS) adaptive filtering algorithm is frequently used in system identification problems …”
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A Novel Sparse False Data Injection Attack Method in Smart Grids with Incomplete Power Network Information von Li, Xue, Li, Chuanjiang, Du, Dajun, Zhong, Huixin

“… The paper investigates a novel sparse false data injection attack method in a smart grid (SG) with incomplete power network information. Most existing methods …”
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Regularized Recursive Least Square-Based Time Domain Iterative Channel Estimation Scheme for OFDM-IDMA Systems von Oyerinde, Olutayo O.

“… This is called regularized correlated time-averaged-based variable forgetting factor recursive least square (RCTVFF-RLS …”
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Regularized RLS Algorithm Based on Third-Order Tensor Decomposition von Otopeleanu, Radu, Elisei-Iliescu, Camelia, Paleologu, Constantin, Ciochina, Silviu, Benesty, Jacob

“… In these scenarios, fast converging algorithms would be desirable, like those belonging to the recursive least-squares (RLS) family …”
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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

“… Due to its fast convergence rate, the recursive least-squares (RLS) algorithm is very popular in many applications of adaptive filtering, including system identification scenarios …”
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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 main reason behind its popularity is its fast convergence rate. However, this algorithm is computationally very complex, which may make it useless for the identification of long length impulse responses, like in echo cancellation …”
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Convolutive BSS of Short Mixtures by ICA Recursively Regularized Across Frequencies von Nesta, Francesco, Svaizer, Piergiorgio, Omologo, Maurizio

“… We propose a recursively regularized implementation of the ICA (RR-ICA) that overcomes the mentioned …”
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An Inverse recursive algorithm to retrieve the shape of the inaccessible dielectric objects von Sefer, Ahmet

“… A regularized electromagnetic iterative inverse algorithm is formulated and implemented to reconstruct the shape of 2D dielectric objects using the far-field pattern of the scattered field data …”
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