Search Results - sparse recursive past squares algorithm

Parameter identification for nonlinear Hammerstein models with stacked sparse autoencoder network by Li, Feng, Song, Liexin, Wang, Tianhu, Liu, Ranran

“… Firstly, to identify the ARMAX model parameters, the multi-innovation and recursive extended theories are introduced, then a multi-innovation recursive least squares (MI-RELS…”
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Low complexity sparse Bayesian estimation for UWB radar imaging by Alkhodary, Mohammad T, Muqaibel, Ali H

“… The algorithm takes advantage of the radar-return statistic to find an approximate minimum mean-square error estimate of the radar image…”
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DUK-SVD: dynamic dictionary updating for sparse representation of a long-time remote sensing image sequence by Wang, Lizhe, Liu, Peng, Song, Weijing, Choo, Kim-Kwang Raymond

“…Sparse representations of data or signals have drawn considerable attentions in the past decade…”
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Streaming Solutions for Time-Varying Optimization Problems by Hamam, Tomer H., Romberg, Justin

“…This paper studies streaming optimization problems with objectives given by a sum of locally coupled cost terms of the form <inline-formula><tex-math…”
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Sparse representation for remote sensing images of long time sequences by Jing Wen, Peng Liu, Lajiao Chen, Lizhe Wang

“…) and Recursive Least Squares Dictionary Learning Algorithm (RLS-DLA) also could train the dictionary by using relative large samples…”
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Notice of Violation of IEEE Publication Principles: Single-Image Super-Resolution Algorithm Based on Structural Self-Similarity and Deformation Block Features by Chen, Yuantao, Wang, Jin, Chen, Xi, Zhu, Mingwei, Yang, Kai, Wang, Zhi, Xia, Runlong

“…) restoration procedure, the paper has proposed the single-image SR algorithm based on structural self-similarity and deformation block features (SSDBF…”
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Network Volume Anomaly Detection and Identification in Large-Scale Networks Based on Online Time-Structured Traffic Tensor Tracking by Kasai, Hiroyuki, Kellerer, Wolfgang, Kleinsteuber, Martin

“… To this end, this paper proposes an online subspace tracking of a Hankelized time-structured traffic tensor for normal flows based on the Candecomp/PARAFAC decomposition exploiting the recursive least squares algorithm…”
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A digital twin-based framework for multi-element seismic hybrid simulation of structures by Mokhtari, Fardad, Imanpour, Ali

“… The digital twin is trained in two phases: (1) passive (initial) training phase using past experimental test data before the hybrid simulation starts, and (2…”
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Network Volume Anomaly Detection and Identification in Large-scale Networks based on Online Time-structured Traffic Tensor Tracking by Kasai, Hiroyuki, Kellerer, Wolfgang, Kleinsteuber, Martin

“… To this end, this paper proposes an online subspace tracking of a Hankelized time-structured traffic tensor for normal flows based on the Candecomp/PARAFAC decomposition exploiting the recursive least squares (RLS) algorithm…”
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Parameter Estimation and Application for Static Nonlinear and Dynamic Linear Systems by 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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