Search Results - "Fast iterative shrinkage-thresholding algorithm"

A temperature field reconstruction method based on acoustic thermometry by Zhong, Qishui, Chen, Yinsheng, Zhu, Bo, Liao, Shaohui, Shi, Kaibo

“…•A new method of temperature field reconstruction is proposed.•The proposed method solves the problem of missing edge temperature information.•Reconstruction…”
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NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion by Chen, Xing, Sun, Lian-Gang, Zhao, Yan

“…Abstract Emerging evidence shows that microRNAs (miRNAs) play a critical role in diverse fundamental and important biological processes associated with human…”
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Tail-FISTA and applications by Luo, Yuan, Ma, Chi, Li, Shidong, Zhao, Qianjin

“…Inspired by the fast iterative shrinkage-thresholding algorithm (FISTA), a tail-FISTA method based on the tail-ℓ1 minimization is proposed and analyzed for…”
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A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems by Kamilov, Ulugbek S., Mansour, Hassan, Wohlberg, Brendt

“…In the past two decades, nonlinear image reconstruction methods have led to substantial improvements in the capabilities of numerous imaging systems. Such…”
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CNN-Based Super-Resolution of Hyperspectral Images by Arun, P. V., Buddhiraju, Krishna Mohan, Porwal, Alok, Chanussot, Jocelyn

“…Single-image super-resolution (SISR) techniques attempt to reconstruct the finer resolution version of a given image from its coarser version. In the SISR of…”
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Lightweight FISTA-Inspired Sparse Reconstruction Network for mmW 3-D Holography by Wang, Mou, Wei, Shunjun, Liang, Jiadian, Liu, Shan, Shi, Jun, Zhang, Xiaoling

“…Integrating compressed sensing (CS) with millimeter-wave (mmW) holography has shown great potential to achieve lightweight onboard hardware, low sampling…”
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Robust and efficient FISTA-based method for moving object detection under background movements by Amoozegar, Maryam, Akbarizadeh, Masoumeh, Bouwmans, Thierry

“…Moving object detection is a fundamental task in many video processing applications, such as video surveillance. The robustness and efficiency of background…”
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Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness by Mao, Xiaojun, Wang, Hengfang, Wang, Zhonglei, Yang, Shu

“…Modern surveys with large sample sizes and growing mixed-type questionnaires require robust and scalable analysis methods. In this work, we consider recovering…”
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CTV-Net: Complex-Valued TV-Driven Network With Nested Topology for 3-D SAR Imaging by Wang, Mou, Wei, Shunjun, Zhou, Zichen, Shi, Jun, Zhang, Xiaoling, Guo, Yongxin

“…The regularization-based approaches offer promise in improving synthetic aperture radar (SAR) imaging quality while reducing system complexity. However, the…”
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The variant of the iterative shrinkage-thresholding algorithm for minimization of the ℓ1 over ℓ∞ norms by Wang, Jun, Ma, Qiang

“…•We firstly give an analysis solution of the proximal operator of the L1 over Linf in compressed sensing.•We construct a novel variant of fast iterative…”
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Semi-Supervised Interpretable FISTA-Net for Adaptive Subtraction and Removal of Seismic Multiples by Qi, Zhen, Li, Zhongxiao, Sun, Ningna, Li, Xianpeng, Li, Bin, Wang, Yibo

“…The prediction and subtraction method is a common approach for suppressing multiples, and the key step lies in adaptive subtraction of multiples. The matched…”
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REDU-Net: Robust and Efficient Dynamic Unfolding Network for Abundance Estimation by Ge, Youran, Han, Lirong, Paoletti, Mercedes E., Haut, Juan M., Qu, Gangrong, Plaza, Antonio

“…In the field of hyperspectral unmixing (HU), accurately determining the spectral signatures of pure materials (endmembers) and their abundances presents…”
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Electromagnetic Interference Feature Extraction for Permanent Magnet Synchronous Motors Currents Based on Fast Independent Component Analysis by Xue, Yuanhe, Yan, Wei, Zhou, Mengxia, Sun, Yi, Zhang, Tao, ZhaO, Yang

“…Stator currents in permanent magnet synchronous motor (PMSM) are inevitably affected by electromagnetic interference (EMI) from power devices during operation…”
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3-D SAR Imaging via Perceptual Learning Framework With Adaptive Sparse Prior by Wang, Mou, Wei, Shunjun, Shi, Jun, Zhang, Xiaoling, Guo, Yongxin

“…Mathematically, 3-D synthetic aperture radar (SAR) imaging is a typical inverse problem, which, by nature, can be solved by applying the theory of sparse…”
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A method for identifying dielectric response parameters of stator windings insulation in pumped storage generator-motor based on modified SPDMD of depolarization current by Zhu, Guangya, Ma, Shiyu, Yang, Shuai, Zhang, Yue, Wang, Bingyan, Zhou, Kai

“…•The paper proposes a dielectric-parameter method based on depolarization-current modal decomposition, selecting dominant modes.•The method automatically…”
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Unsupervised FISTA-Net Based Adaptive Subtraction for Seismic Multiple Removal by Li, Zhongxiao, Sun, Keyi, Zeng, Tongsheng, Ma, Jiahui, Qi, Zhen, Sun, Ningna, Wang, Yibo

“…Adaptive subtraction plays a crucial role in the multiple removal method that involves modeling and subtraction steps. The linear regression (LR) based method…”
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Key parameters for iterative thresholding-type algorithm with nonconvex regularization by Zhou, Xin, Liu, Zhen, Zhang, Haisu, Zhao, Zhiyuan, Liu, Yongxiang

“…Iterative thresholding-type algorithm, as one of the typical methods of compressed sensing (CS) theory, is widely used in sparse recovery field, because of its…”
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3-D SAR Data-Driven Imaging via Learned Low-Rank and Sparse Priors by Wang, Mou, Wei, Shunjun, Zhou, Zichen, Shi, Jun, Zhang, Xiaoling, Guo, Yongxin

“…In the research topic of three-dimensional (3-D) synthetic aperture radar (SAR) imaging, the sparsity-enforcing techniques offer promise in shortening the…”
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Probability-Based Complex-Valued Fast Iterative Shrinkage-Thresholding Algorithm for Deconvolution Beamforming by Jiang, Shiyao, Jiang, Rongxin, Liu, Xuesong, Gu, Boxuan, Chen, Yaowu

“…Conventional beamforming is widely used in sonars and radars owing to its robustness and low complexity; however, it suffers from low beam resolution and…”
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Near-Field Radar Imaging via Compressive Sensing by Li, Shiyong, Zhao, Guoqiang, Li, Houmin, Ren, Bailing, Hu, Weidong, Liu, Yong, Yu, Weihua, Sun, Houjun

“…A novel two-dimensional (2-D) compressive sensing (CS) based method is presented for near-field radar imaging. First, an accurate near-field approximation is…”
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