Search Results - approximate message-passing algorithm

Finite Sample Analysis of Approximate Message Passing Algorithms by Rush, Cynthia, Venkataramanan, Ramji

“…Approximate message passing (AMP) refers to a class of efficient algorithms for statistical estimation in high-dimensional problems such as compressed sensing and low-rank matrix estimation…”
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Universality of approximate message passing algorithms by Chen, Wei-Kuo, Lam, Wai-Kit

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Elemental approximate message passing algorithm for sparse signal recovery by Ji, Chen, Dai, Jisheng, Jiang, Xue-Qin, Xu, Weichao

“…Vector approximate message passing (VAMP) has emerged as an effective and robust solution for sparse signal recovery (SSR…”
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Approximate Message Passing Algorithms for Low Complexity OFDM-IM Detection by Sui, Zeping, Yan, Shefeng, Zhang, Hongming, Yang, Lie-Liang, Hanzo, Lajos

“…Low complexity approximate message passing (AMP) orthogonal frequency division multiplexing combined with index modulation (OFDM-IM…”
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VLSI Architecture for Enhanced Approximate Message Passing Algorithm by Batta, Kota Naga Srinivasaro, Chakrabarti, Indrajit

“… In this paper, we present a novel architecture for the reconstruction of the sparse signal using the recently proposed Enhanced Approximate Message Passing (EAMP) algorithm…”
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A Non-Asymptotic Analysis of Generalized Vector Approximate Message Passing Algorithms With Rotationally Invariant Designs by Cademartori, Collin, Rush, Cynthia

“…Approximate Message Passing (AMP) algorithms are a class of iterative procedures for computationally-efficient estimation in high-dimensional inference and estimation tasks…”
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Approximate Message Passing Algorithm With Universal Denoising and Gaussian Mixture Learning by Yanting Ma, Junan Zhu, Baron, Dror

“… We present a novel algorithmic framework that combines: 1) the approximate message passing CS reconstruction framework, which solves the matrix channel recovery problem by iterative scalar channel denoising; 2…”
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Adaptive damping and mean removal for the generalized approximate message passing algorithm by Vila, Jeremy, Schniter, Philip, Rangan, Sundeep, Krzakala, Florent, Zdeborova, Lenka

“…The generalized approximate message passing (GAMP) algorithm is an efficient method of MAP or approximate-MMSE estimation of x observed from a noisy version of the transform coefficients z = Ax…”
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Vector approximate message passing algorithm for compressed sensing with structured matrix perturbation by Zhu, Jiang, Zhang, Qi, Meng, Xiangming, Xu, Zhiwei

“…•Study the CS with structured matrix perturbation via Bayesian methods.•Develop the perturbation considered vector approximate message passing (PC-VAMP) algorithm…”
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Research on ECG signal reconstruction based on improved weighted nuclear norm minimization and approximate message passing algorithm by Zhang, Bing, Zhu, Xishun, Khan, Fadia Ali, Jamal, Sajjad Shaukat, Mazroa, Alanoud Al, Nawaz, Rab

“… The compressed data may be mixed with noise during the transmission process. The denoising-based approximate message passing (AMP…”
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Approximate Message Passing Algorithm for Nonconvex Regularization by Zhang, Hui, Zhang, Hai, Liang, Yong, Yang, Zi-Yi, Ren, Yanqiong

“…) and smoothly clipped absolute deviation (SCAD). An approximate message passing (AMP) algorithm is an effective method for signal reconstruction…”
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Multipass Circular SAR 3D Imaging via L-based Complex Approximate Message Passing algorithm by Yang, Weixing, Zhu, Daiyin

“…) regularization is proposed in this paper. In subaperture 3D target reconstruction, the L_{1/2} -based complex approximate message passing (CAMP…”
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Phase Transition of Total Variation Based on Approximate Message Passing Algorithm by Cheng, Xiang, Lei, Hong

“…In compressed sensing (CS), one seeks to down-sample some high-dimensional signals and recover them accurately by exploiting the sparsity of the signals…”
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An Approximate Message Passing Algorithm For Rapid Parameter-Free Compressed Sensing MRI by Millard, Charles, Hess, Aaron T, Mailhe, Boris, Tanner, Jared

“…For certain sensing matrices, the Approximate Message Passing (AMP) algorithm efficiently reconstructs undersampled signals…”
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FDD massive MIMO downlink channel estimation with complex hybrid generalized approximate message passing algorithm by Wang, Wenyuan, Xiu, Yue, Zhang, Zhongpei

“…Precise channel state information (CSI) is essential for the massive multiple-input multiple-output (MIMO) system to achieve high spectrum and energy…”
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A Model-Based Deep Network for MRI Reconstruction Using Approximate Message Passing Algorithm by Qiao, Xiaoyu, Du, Jinglong, Wang, Lulu, He, Zhongshi, Jia, Yuanyuan

“…We propose a novel model-based network to reconstruct the magnetic resonance (MR) image. In this network, the Approximate Message Passing…”
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Optimal errors and phase transitions in high-dimensional generalized linear models by Barbier, Jean, Krzakala, Florent, Macris, Nicolas, Miolane, Léo, Zdeborová, Lenka

“…Generalized linear models (GLMs) are used in high-dimensional machine learning, statistics, communications, and signal processing. In this paper we analyze…”
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Complex approximate message passing equivalent source method for sparse acoustic source reconstruction by Luo, Xiaoxue, Yu, Liang, Li, Min, Wang, Ran, Yu, Hongwen

“… To accommodate the needs of processing complex-valued signals, complex approximate message passing algorithm (CAMP) is considered…”
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An Energy-Efficient Signal Detection Scheme for a Radar-Communication System Based on the Generalized Approximate Message-Passing Algorithm and Low-Precision Quantization by Xia, De-Ping, Zhang, Yu, Cai, Peixiang, Huang, Ling

“… In this paper, an array division strategy is developed, and a low-complexity signal detection scheme based on the generalized approximate message-passing (GAMP…”
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Sparse Estimation Based on a New Random Regularized Matching Pursuit Generalized Approximate Message Passing Algorithm by Luo, Yongjie, Gui, Guan, Cong, Xunchao, Wan, Qun

“…Approximate Message Passing (AMP) and Generalized AMP (GAMP) algorithms usually suffer from serious convergence issues when the elements of the sensing matrix do not exactly match the zero-mean Gaussian assumption…”
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