Výsledky vyhľadávania - "approximate message-passing algorithm"

Optimal errors and phase transitions in high-dimensional generalized linear models Autor 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 Autor Luo, Xiaoxue, Yu, Liang, Li, Min, Wang, Ran, Yu, Hongwen

“…Acoustic source reconstruction techniques are an essential technical basis for noise source identification and fault diagnosis. How to computationally…”
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Spatially-Coupled Constant-Weight Code for Random Access in Fast Fading Channels Autor Lu, Shuai, Zheng, Jianping

“…In this letter, we propose a novel signature code, spatially-coupled (SC) constant-weight (CW) code, for random access in fast fading channels. Concretely,…”
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Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing Autor Chunli Guo, Davies, Mike E.

“…Both theoretical analysis and empirical evidence confirm that the approximate message passing (AMP) algorithm can be interpreted as recursively solving a…”
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Multipath Component Power Delay Profile Based Ranging Autor Xiao, Fangqing, Zhao, Zilu, Slock, Dirk T. M.

“…Precision ranging technology has become indispensable for ensuring efficient, reliable, and low-latency fifth-generation (5G) networks. In this paper, we…”
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Research on ECG signal reconstruction based on improved weighted nuclear norm minimization and approximate message passing algorithm Autor Zhang, Bing, Zhu, Xishun, Khan, Fadia Ali, Jamal, Sajjad Shaukat, Mazroa, Alanoud Al, Nawaz, Rab

“…In order to improve the energy efficiency of wearable devices, it is necessary to compress and reconstruct the collected electrocardiogram data. The compressed…”
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Automatic bias correction for testing in high‐dimensional linear models Autor Zhou, Jing, Claeskens, Gerda

“…Hypothesis testing is challenging due to the test statistic's complicated asymptotic distribution when it is based on a regularized estimator in high…”
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Learning Image Formation and Regularization in Unrolling AMP for Lensless Image Reconstruction Autor Yang, Jingyu, Yin, Xiangjun, Zhang, Mengxi, Yue, Huihui, Cui, Xingyu, Yue, Huanjing

“…This paper proposes an unrolling learnable approximate message passing recurrent neural network (called ULAMP-Net) for lensless image reconstruction. By…”
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WASAR imaging with backprojection based group complex approximate message passing Autor Wei, Zhonghao, Jiang, Chenglong, Zhang, Bingchen, Bi, Hui, Hong, Wen, Wu, Yirong

“…Group sparsity based wide angle synthetic aperture radar imaging model is developed and propose a novel algorithm called backprojection based group complex…”
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An Efficient General Algorithm for SAR Imaging: Complex Approximate Message Passing Combined With Backprojection Autor Quan, Xiangyin, Zhang, Bingchen, Liu, Jian Guo, Wu, Yirong

“…Due to the great computation load and memory cost of the matrix-vector multiplication, the sparse reconstruction algorithms are severely limited in the…”
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Alternative direction for 3D orthogonal frequency division multiplexing massive MIMO FDD channel estimation and feedback Autor Nasser, Ahmed, Elsabrouty, Maha, Muta, Osamu

“…In this study, downlink channel estimation of three-dimensional massive multiple-input multiple-output (3D-MIMO) system operating in the frequency division…”
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Approximate Message Passing Algorithm for Nonconvex Regularization Autor Zhang, Hui, Zhang, Hai, Liang, Yong, Yang, Zi-Yi, Ren, Yanqiong

“…In this paper, we study the sparse signal reconstruction with nonconvex regularization, mainly focusing on two popular nonconvex regularization methods,…”
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On weighting/reweighting schemes for approximate message passing algorithms Autor Zeinalkhani, Zeinab, Haghighatpanah, Neda, Banihashemi, Amir H.

“…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…”
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Velocity Pausing Particle Swarm Optimization Algorithm based Universal High-Throughput and Low-Complexity LDPC Decoder for Laser Communications Autor Y, Bhanu Priya, A, Kishore Kumar

“…This work presents Lower-Density Parity-Check (LDPC) decoder that is distinguished by its low complexity and highest throughput to fulfil the highest data rate…”
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Multipass Circular SAR 3D Imaging via L-based Complex Approximate Message Passing algorithm Autor Yang, Weixing, Zhu, Daiyin

“…Multipass circular synthetic aperture radar (MCSAR) three-dimensional (3D) imaging is a challenging problem. For anisotropic scattering observation targets,…”
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Power Delay Profile Based Ranging via Approximate EM-ReVAMP Autor Xiao, Fangqing, Zhao, Zilu, Slock, Dirk

“…Accurate distance estimation is of utmost importance in enabling seamless positioning and location-based services for 5G and Beyond 5G(B5G) networks. This…”
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Performance Evaluation of Sparse Recovery Algorithms for Efficient Signal Reconstruction in Compressed PPG Sensing Node Autor M A, Jayarani, Manikandan, M. Sabarimalai, Mula, Subrahmanyam

“…Photoplethysmogram (PPG) is a noninvasive technique to estimate heart rate and respiration rate with advantages over electrocardiogram (ECG) in terms of ease…”
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Insight to AMP and ADMM based Sparse signal reconstruction Autor Subramanian, Surya, Gandhiraj, R.

“…Compressive sensing (CS) is a rising field which have already overcome Nyquist rate. It enables sparse signal recovery with the help of efficient algorithms…”
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A study of BP-camp algorithm for SAR imaging Autor Xiangyin Quan, Zhe Zhang, Bingchen Zhang, Wen Hong, Yirong Wu

“…Recently, the sparse reconstruction algorithms (SRAs) based on compressive sensing (CS) have been applied in the fields of synthetic aperture radar (SAR)…”
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