Results 71 to 80 of about 3,137 (156)

Hybrid Beamforming via Fourth-Order Tucker Decomposition for Multiuser Millimeter-Wave Massive MIMO Systems

Axioms
To enhance the spectral efficiency of hybrid beamforming in millimeter-wave massive MIMO systems, the problem is formulated as a high-dimensional non-convex optimization under constant modulus constraints.
Haiyang Dong, Zheng Dou
doaj   +1 more source

Three-Dimensional Temperature Field Reconstruction Based on Tucker Decomposition and Acoustic Thermometry

Applied Sciences
Accurate temperature measurement in coal-fired power plants is crucial for optimizing combustion and achieving deep load regulation. While acoustic temperature measurement is an efficient and stable method, its practical application is limited to two ...
Jidong Yan, Liansuo An, Pengbo Yao, Guoqing Shen, Shiping Zhang   +4 more
doaj   +1 more source

Tensor-Based Channel Estimation Considering Beam Squint Effects in LEO Satellite Communications

IEEE Access
In this paper, we propose a tensor-based channel estimation framework for beam squint-aware low Earth orbit (LEO) downlink communication at a ground station.
Kyungrak Son, Pansoo Kim, Jung Hoon Lee
doaj   +1 more source

From tensors to novelties: Low-dimensional representations for anomaly detection in multispectral imagery

Machine Learning with Applications
Anomaly detection in multispectral imagery must cope with high-dimensional inputs, scarce labeled anomalies and operational constraints. Tensor decompositions offer a structured way to compress such data, but their impact on anomaly detection performance
Anthony Chan Chan
doaj   +1 more source

Oblivious subspace embeddings for compressed Tucker decompositions

Emphasis in the tensor literature on random embeddings (tools for low-distortion dimension reduction) for the canonical polyadic (CP) tensor decomposition has left analogous results for the more expressive Tucker decomposition comparatively lacking. This work establishes general Johnson-Lindenstrauss (JL) type guarantees for the estimation of Tucker ...
Pietrosanu, Matthew, Jiang, Bei, Kong, Linglong   +2 more
openaire   +2 more sources

Blind estimation of spreading codes for multi-antenna LC-DS-CDMA signals based on tensor decomposition

Tongxin xuebao, 2018
Aiming at the problem of the poor performance of the imputation method for the spreading codes blind estimation of the multi-antenna long-code direct sequence code division multiple access (CDMA) signals.Firstly,using the segmentation idea,the received ...
Zhijin ZHAO, Hui YIN, Fangfang QIANG, Junna SHANG   +3 more
doaj  

Tucker Decomposition-Based Feature Selection and SSA-Optimized Multi-Kernel SVM for Transformer Fault Diagnosis. [PDF]

Sensors (Basel)
Wang L, Liu X.
europepmc   +1 more source

Deciphering high-order structures in spatial transcriptomes with graph-guided Tucker decomposition. [PDF]

Bioinformatics
Broadbent C, Song T, Kuang R.
europepmc   +1 more source

EEG multi-domain feature transfer based on sparse regularized Tucker decomposition. [PDF]

Cogn Neurodyn
Gao Y, Zhang C, Huang J, Meng M.
europepmc   +1 more source

Bayesian Tensor Decomposition for Clustering Latent Symptom Profiles for Verbal Autopsy Data. [PDF]

Stat Med
Zhu Y, Li ZR.
europepmc   +1 more source