2020
DOI: 10.1109/lsp.2020.2990313
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Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, With Application to Signal Reconstruction

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Cited by 32 publications
(23 citation statements)
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“…For overcoming this limitation, the acquired datasets are represented in tensor formats. Tensors are higher order arrays used in different signal processing applications such as Blind Source Separation (BSS) (Cichocki et al, 2009;Bousse et al, 2016), image in-painting/completion (Liu et al, 2012;Yokota et al, 2016;Wang et al, 2017), time series analysis (Kouchaki et al, 2014;Sedighin et al, 2020) and machine learning (Rabanser et al, 2017;Sidiropoulos et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
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“…For overcoming this limitation, the acquired datasets are represented in tensor formats. Tensors are higher order arrays used in different signal processing applications such as Blind Source Separation (BSS) (Cichocki et al, 2009;Bousse et al, 2016), image in-painting/completion (Liu et al, 2012;Yokota et al, 2016;Wang et al, 2017), time series analysis (Kouchaki et al, 2014;Sedighin et al, 2020) and machine learning (Rabanser et al, 2017;Sidiropoulos et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Recently, a promising approach, called Hankelization, has been developed for improving the quality of tensor completion approaches (Yokota et al, 2018;Sedighin et al, 2020). Previously, Hankelization has been used as an initial step for a time series analysis algorithm, called Singular Spectrum Analysis (SSA) (Golyandina et al, 2013;Rahmani et al, 2016;Hassani et al, 2017;Kalantari et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
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