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   Articles with "matrix decomposition" as a keyword



Water entry sound detection in strong noise by using the spectrogram matrix decomposition method

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recommendations! Published in 2020 at "Applied Acoustics"

DOI: 10.1016/j.apacoust.2019.107171

Abstract: Abstract The water entry transient sound of a projectile can be used for early target detection in passive sonar. Two detectors for the transient sound with low Signal to Noise Ratios (SNRs) have been proposed… read more here.

Keywords: detection; matrix; detector; matrix decomposition ... See more keywords

Cross-domain information fusion and personalized recommendation in artificial intelligence recommendation system based on mathematical matrix decomposition

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-57240-6

Abstract: Given the challenges of inter-domain information fusion and data sparsity in collaborative filtering algorithms, this paper proposes a cross-domain information fusion matrix decomposition algorithm to enhance the accuracy of personalized recommendations in artificial intelligence recommendation… read more here.

Keywords: information; matrix decomposition; information fusion; recommendation ... See more keywords

Estimation of heteroscedasticity by local composite quantile regression and matrix decomposition

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recommendations! Published in 2018 at "Journal of Nonparametric Statistics"

DOI: 10.1080/10485252.2017.1418869

Abstract: ABSTRACT We propose a two-step estimation method for nonparametric model with heteroscedasticity to estimate the scale function and the location function simultaneously. The local composite quantile regression (LCQR) is employed in the first step, and… read more here.

Keywords: quantile regression; heteroscedasticity; matrix decomposition; composite quantile ... See more keywords

Matrix Decomposition-Based Adaptive Control of Noncanonical Form MIMO DT Nonlinear Systems

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recommendations! Published in 2022 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2021.3115850

Abstract: This article presents a new study on adaptive control of multi-input and multi-output (MIMO) discrete-time nonlinear systems with a noncanonical form involving parametric uncertainties. The adaptive control scheme employs a vector relative degree formulation to… read more here.

Keywords: form; control; adaptive control; nonlinear systems ... See more keywords

Hybrid Matrix-Decomposition-Based Fast Direct Solver of Integral Equations

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recommendations! Published in 2021 at "IEEE Transactions on Antennas and Propagation"

DOI: 10.1109/tap.2021.3076351

Abstract: Our numerical experiments show that the hierarchical matrix (H-matrix) solver is more efficient than the butterfly solver for electrically small problems, although the converse is true for sufficiently large problems. In this communication, we propose… read more here.

Keywords: decomposition; matrix; matrix decomposition; decomposition based ... See more keywords

WHT and Matrix Decomposition-Based Approximated IDCT Architecture for HEVC

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recommendations! Published in 2019 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2018.2874071

Abstract: This brief proposes a new model of inverse discrete cosine transform (IDCT) kernel for high efficiency video coding (HEVC). The kernel supports IDCT of order 4, 8, 16, and 32. The proposed architecture uses the… read more here.

Keywords: idct architecture; matrix decomposition; architecture; decomposition based ... See more keywords

ADMM-HFNet: A Matrix Decomposition-Based Deep Approach for Hyperspectral Image Fusion

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2021.3112181

Abstract: Hyperspectral image (HSI) fusion refers to the reconstruction of a high-resolution HSI by fusing a low-resolution HSI (LR-HSI) and a high-resolution multispectral image (HR-MSI) over the same scene. Recently, researchers have proposed many approaches to… read more here.

Keywords: admm hfnet; decomposition; hsi; hyperspectral image ... See more keywords

Iteratively Reweighted Minimax-Concave Penalty Minimization for Accurate Low-rank Plus Sparse Matrix Decomposition.

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recommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.1109/tpami.2021.3122259

Abstract: Low-rank plus sparse matrix decomposition (LSD) is an important problem in computer vision and machine learning. It has been solved using convex relaxations of the matrix rank and l0-pseudo-norm, which are the nuclear norm and… read more here.

Keywords: low rank; matrix decomposition; rank; plus sparse ... See more keywords

Near-Optimal Hybrid Processing for Massive MIMO Systems via Matrix Decomposition

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recommendations! Published in 2017 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2017.2699643

Abstract: For practical implementation of massive multiple-input multiple-output (MIMO) systems, the hybrid processing (precoding/combining) structure is promising to reduce the high implementation cost and power consumption rendered by large number of radio frequency (RF) chains of… read more here.

Keywords: massive mimo; matrix decomposition; hybrid processing; mimo systems ... See more keywords

Low-Complexity Parallel Chien Search Architecture Based on Vandermonde Matrix Decomposition

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recommendations! Published in 2024 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"

DOI: 10.1109/tvlsi.2024.3394396

Abstract: Reed-Solomon (RS) and BCH codes are among the most broadly used error-correcting codes in digital communication and storage systems. The Chien search step accounts for a significant part of the overall decoder complexity of these… read more here.

Keywords: search; chien search; matrix decomposition; complexity ... See more keywords

MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction

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recommendations! Published in 2018 at "PLoS Computational Biology"

DOI: 10.1371/journal.pcbi.1006418

Abstract: Recently, a growing number of biological research and scientific experiments have demonstrated that microRNA (miRNA) affects the development of human complex diseases. Discovering miRNA-disease associations plays an increasingly vital role in devising diagnostic and therapeutic… read more here.

Keywords: disease; association; matrix decomposition; least one ... See more keywords