Weighted multivariate curve resolution—Alternating least squares based on sample relevance [PDF]
Journal of Chemometrics, 2022 Abstract Alternating least squares within the multivariate curve resolution framework has seen a lot of practical applications and shows their distinction with their relatively simple and flexible implementation. However, the limitations of least squares should be carefully considered when deviating from the standard assumed data ...
Mohamad Ahmad +3 more
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Positive matrix factorization of large real-time atmospheric mass spectrometry datasets using error-weighted randomized hierarchical alternating least squares [PDF]
Geoscientific Model DevelopmentWeighted positive matrix factorization (PMF) has been used by scientists to find small sets of underlying factors in environmental data. However, as the size of the data has grown, increasing computational costs have made it impractical to use ...
B. C. Sapper +7 more
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BFGS method based variable projection approach for image restoration
IET Image Processing, 2021 In this paper, a variable projection approach based on the BFGS (Broyden–Fletcher–Goldfarb–Shanno) method for image reconstruction problems is proposed, which is an alternative to the common alternating minimisation scheme.
Qiong‐Ying Chen +4 more
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Frontiers in Marine Science, 2023 Underwater wireless sensor networks (UWSNs) are the primary enabling technology for the Internet of underwater things (IoUT), with which all underwater objects can interact and communicate.
Xiaojun Mei +9 more
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Scale-Aware Multispectral Fusion of RGB and NIR Images Based on Alternating Guidance
IEEE Access, 2020 In low light condition, color (RGB) images captured by increasing the camera ISO contain much noise and detail loss. However, near infrared (NIR) images are robust to noise and have clear textures without color.
Kailong Zhou, Cheolkon Jung, Shengtao Yu
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Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise
Frontiers in Computer Science, 2023 In this paper, we aim to segment an image degraded by blur and Poisson noise. We adopt a smoothing-and-thresholding (SaT) segmentation framework that finds a piecewise-smooth solution, followed by k-means clustering to segment the image. Specifically for
Kevin Bui +3 more
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Alternative fixed-effects panel model using weighted asymmetric least squares regression
Statistical Methods & Applications, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Amadou Barry +2 more
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An Efficient Augmented Lagrangian Method for Statistical X-Ray CT Image Reconstruction. [PDF]
PLoS ONE, 2015 Statistical iterative reconstruction (SIR) for X-ray computed tomography (CT) under the penalized weighted least-squares criteria can yield significant gains over conventional analytical reconstruction from the noisy measurement.
Jiaojiao Li +8 more
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Joint Waveform Optimization and Antenna Position Selection for MIMO Radar Beam Scanning
Leida xuebao, 2022 In this study, under the Peak-to-Average Power Ratio (PAPR), energy, and binary (for antenna position selection) constraints, we proposed an antenna position selection and beam scanning method for colocated Multiple-Input Multiple-Output (MIMO) radar ...
Wen FAN +4 more
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Joint Detection and State Estimate with GSAs in PMU-Based Smart Grids
Energies, 2023 The Phasor Measurement Unit (PMU) with a GPS signal receiver is a synchronized sensor widely used for power system state estimation. While the GPS receiver ensures time accuracy, it is vulnerable to network attacks.
Feng Hua +4 more
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