Articles with "robust tensor" as a keyword



Robust tensor beamforming for polarization sensitive arrays

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Published in 2019 at "Multidimensional Systems and Signal Processing"

DOI: 10.1007/s11045-018-0580-6

Abstract: Robustness is of great importance in array beamforming. With the purpose of improving the robustness of the array beamforming, methods using tensor operations are explored in this paper. Specifically, a higher-dimension tensor decomposition method to… read more here.

Keywords: robust tensor; tensor beamforming; tensor; polarization sensitive ... See more keywords

Robust Tensor Recovery in Impulsive Noise Based on Correntropy and Hybrid Tensor Sparsity

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Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2021.3103993

Abstract: Robust tensor recovery aims to reconstruct a multidimensional tensor from its observations contaminated by noise. In this brief, a new formulation based on correntropy and hybrid tensor sparsity measure is proposed for robust tensor recovery… read more here.

Keywords: robust tensor; recovery; tensor sparsity; tensor ... See more keywords

Robust Tensor SVD and Recovery With Rank Estimation.

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Published in 2021 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2021.3067676

Abstract: Tensor singular value decomposition (t-SVD) has recently become increasingly popular for tensor recovery under partial and/or corrupted observations. However, the existing t-SVD-based methods neither make use of a rank prior nor provide an accurate rank… read more here.

Keywords: robust tensor; rank estimation; tensor; svd ... See more keywords

Robust Tensor Subspace Learning for Incomplete Multi-View Clustering

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Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2024.3399707

Abstract: Incomplete multi-view clustering has represented a significant role in grouping real images. In this study, a novel robust tensor subspace learning (RTSL) is proposed for incomplete multi-view clustering. Specifically, the missing samples within views are… read more here.

Keywords: view; incomplete multi; tensor; robust tensor ... See more keywords

Data Reconstruction in Heterogeneous Environmental Wireless Sensor Networks Using Robust Tensor Principal Component Analysis

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Published in 2021 at "IEEE Transactions on Signal and Information Processing over Networks"

DOI: 10.1109/tsipn.2021.3105795

Abstract: The major challenges during the data acquisition process in an environmental wireless sensor network (EWSN) architecture are the presence of outliers and missing data. Outliers and missing data are ubiquitous in EWSN due to sensor… read more here.

Keywords: robust tensor; component; tensor; environmental wireless ... See more keywords

Robust Tensor-Based Algorithm for UAV-Assisted IoT Communication Systems via Nested PARAFAC Analysis

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Published in 2022 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2022.3215637

Abstract: In this paper, we propose a robust tensor-based strategy to jointly estimate channel state information (CSI) and detect information symbols for unmanned aerial vehicle (UAV)-assisted Internet of Things (IoT) communication systems. First, a superimposed signal… read more here.

Keywords: tensor; uav assisted; robust tensor; tensor based ... See more keywords

Bayesian Robust Tensor Factorization for Angle Estimation in Bistatic MIMO Radar With Unknown Spatially Colored Noise

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Published in 2022 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2022.3231195

Abstract: In this paper, we propose a robust tensor-based scheme for joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation in bistatic multiple-input multiple-output (MIMO) radar with unknown spatially colored noise. To eliminate the colored noise, the proposed… read more here.

Keywords: estimation bistatic; colored noise; tensor; angle estimation ... See more keywords