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检索条件"主题词=approximate message passing algorithm"
9 条 记 录,以下是1-10 订阅
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approximate message passing algorithm for Nonconvex Regularization
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IEEE ACCESS 2019年 7卷 9080-9090页
作者: Zhang, Hui Zhang, Hai Liang, Yong Yang, Zi-Yi Ren, Yanqiong Macau Univ Sci & Technol Fac Informat Technol Macau 519020 Peoples R China Macau Univ Sci & Technol State Key Lab Qual Res Chinese Med Macau 519020 Peoples R China Northwest Univ Sch Math Xian 710127 Shaanxi Peoples R China
In this paper, we study the sparse signal reconstruction with nonconvex regularization, mainly focusing on two popular nonconvex regularization methods, minimax concave penalty (MCP) and smoothly clipped absolute devi... 详细信息
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MB-DAMPNet: a novel multi-branch denoising-based approximate message passing algorithm via deep neural network for image reconstruction
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INVERSE PROBLEMS 2021年 第10期37卷 105016-105016页
作者: Yue, Huihui Guo, Jichang Yin, Xiangjun Guo, Chunle Jia, Weiguang Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China Nankai Univ Coll Comp Sci Tianjin Peoples R China Natl Ctr Oceanog Stand & Metrol Tianjin 300112 Peoples R China
Compressive sensing has gained great attention due to its effectiveness in solving linear inverse problems. However, how to further improve the accuracy of compressed image inversion while ensuring or even acceleratin... 详细信息
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Automatic bias correction for testing in high-dimensional linear models
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STATISTICA NEERLANDICA 2023年 第1期77卷 71-98页
作者: Zhou, Jing Claeskens, Gerda Katholieke Univ Leuven ORStat Naamsestr 69 B-3000 Leuven Belgium Katholieke Univ Leuven Leuven Stat Res Ctr Naamsestr 69 B-3000 Leuven Belgium
Hypothesis testing is challenging due to the test statistic's complicated asymptotic distribution when it is based on a regularized estimator in high dimensions. We propose a robust testing framework for l-regular... 详细信息
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Learning Image Formation and Regularization in Unrolling AMP for Lensless Image Reconstruction
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IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING 2022年 8卷 479-489页
作者: Yang, Jingyu Yin, Xiangjun Zhang, Mengxi Yue, Huihui Cui, Xingyu Yue, Huanjing Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China
This paper proposes an unrolling learnable approximate message passing recurrent neural network (called ULAMP-Net) for lensless image reconstruction. By unrolling the optimization iterations, key modules and parameter... 详细信息
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On Weighting/Reweighting Schemes for approximate message passing algorithms
On Weighting/Reweighting Schemes for Approximate Message Pas...
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IEEE International Conference on Communications (ICC)
作者: Zeinalkhani, Zeinab Haghighatpanah, Neda Banihashemi, Amir H. Carleton Univ Dept Syst & Comp Engn Ottawa ON Canada
In this paper, we propose a number of weighting/reweighting schemes to improve the performance of the so-called approximate message passing (AMP) algorithm of Donoho et al.. We consider the application of AMP for the ... 详细信息
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Near Optimal Compressed Sensing Without Priors: Parametric SURE approximate message passing
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2015年 第8期63卷 2130-2141页
作者: Guo, Chunli Davies, Mike E. Univ Edinburgh Inst Digital Commun Edinburgh EH9 3JL Midlothian Scotland Univ Edinburgh Joint Res Inst Signal & Image Proc Edinburgh EH9 3JL Midlothian Scotland
Both theoretical analysis and empirical evidence confirm that the approximate message passing (AMP) algorithm can be interpreted as recursively solving a signal denoising problem: at each AMP iteration, one observes a... 详细信息
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Performance Improvement of Compressed Sensing Reconstruction Using Modified-AMP algorithm
Performance Improvement of Compressed Sensing Reconstruction...
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International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES)
作者: Mathai, Nissy Sara Gandhiraj, R. Amrita Vishwa Vidyapeetham Dept Elect & Commun Coimbatore Tamil Nadu India
Compressed sensing (CS) is an emerging field which enables the undersampling of sparse signals rather than at the Nyquist rate. But the main computational challenge involved is in the reconstruction process as it is n... 详细信息
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RFID Tag Acquisition via Compressed Sensing: Flexibility by Random Signature Assignment  5
RFID Tag Acquisition via Compressed Sensing: Flexibility by ...
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International EURASIP Workshop on RFID Technology (EURFID)
作者: Mayer, Martin Goertz, Norbert Vienna Univ Technol Inst Telecommun Gusshausstr 25-389 A-1040 Vienna Austria Christian Doppler Lab Wireless Technol Sustainabl Vienna Austria
Classical Radio Frequency IDentification (RFID) schemes such as Frame Slotted ALOHA (FSA) try to avoid colliding tag responses in the acquisition phase. We propose a scheme that exploits collisions in the acquisition ... 详细信息
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Generating Functional Analysis of Iterative algorithms for Compressed Sensing
Generating Functional Analysis of Iterative Algorithms for C...
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IEEE International Symposium on Information Theory (ISIT)
作者: Mimura, Kazushi Hiroshima City Univ Dept Informat Sci Hiroshima 7313194 Japan
It has been shown that approximate message passing algorithm is effective in reconstruction problems for compressed sensing. To evaluate dynamics of such an algorithm, the state evolution (SE) has been proposed. If an... 详细信息
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