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Channel estimation method of massive MIMO-OFDM system based on adaptive compressed sensing
Published 2021-09-01Subjects: Get full text
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62
Compressed Sensing/Sparse-Recovery Approach for Improved Range Resolution in Narrow-Band Radar
Published 2016-01-01Get full text
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63
Modified complex multitask Bayesian compressive sensing using Laplacian scale mixture prior
Published 2022-07-01Subjects: Get full text
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64
Wyner-Ziv spatial scalable video coding using compressive sensing in ubiquitous networks
Published 2010-01-01Subjects: Get full text
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65
Sparsity adaptive channel estimation algorithm based on compressive sensing for massive MIMO systems
Published 2017-12-01Subjects: Get full text
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66
APPLICATION OF COMPRESSIVE SENSING AND IMPROVED DEEP WAVELET NEURAL NETWORK IN BEARING FAULT DIAGNOSIS
Published 2020-01-01Subjects: Get full text
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67
Sparse channel estimation algorithm based on compressed sensing in MIMO NC-OFDM system
Published 2016-02-01Subjects: Get full text
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68
Channel estimation based on compressive sensing in two-way amplify-and-forward relay channel
Published 2013-10-01Subjects: Get full text
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69
Data Aggregation Scbeme Based on Multi-Resolution and Compressive Sensing in Wireless Sensor Network
Published 2014-09-01Subjects: Get full text
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70
Massive unsourced multiple access scheme based on block sequence codebook and compressed sensing
Published 2023-12-01Subjects: Get full text
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71
Sparse signal transmission under lossy wireless links based on double process of compressive sensing
Published 2017-04-01Subjects: Get full text
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72
High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures
Published 2011-01-01“…Compressive sensing (CS) describes how sparse signals can be accurately reconstructed from many fewer samples than required by the Nyquist criterion. …”
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73
Augmented Lagrange Based on Modified Covariance Matching Criterion Method for DOA Estimation in Compressed Sensing
Published 2014-01-01“…A novel direction of arrival (DOA) estimation method in compressed sensing (CS) is presented, in which DOA estimation is considered as the joint sparse recovery from multiple measurement vectors (MMV). …”
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74
A Bayesian Compressive Sensing Vehicular Location Method Based on Three-Dimensional Radio Frequency
Published 2014-06-01“…With the goal of providing an efficient and reliable estimation of vehicular position in general traffic scenarios, we propose a hybrid TOA/DOA positioning method based on Bayesian compressive sensing (BCS), which benefits from the realization of vehicle-to-roadside wireless interaction with the dedicated short range communication. …”
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75
Deep learning for compressed sensing based sparse channel estimation in FDD massive MIMO systems
Published 2021-08-01“…For FDD massive multi-input multi-output (MIMO) downlink system, a novel deep learning method for compressed sensing based sparse channel estimation was proposed, which was called convolutional compressed sensing network (ConCSNet).In the ConCSNet, the convolutional neural network was utilized to solve the inverse transformation process from measurement vector y to signal h and solve the underdetermined optimization problem through data-driven method without sparsity.Simulation results show that the algorithm can recover the channel state information in massive MIMO Systems with unknown sparsity more quickly and accurately.…”
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76
NEW METHOD FOR BEARING INTELLIGENT DIAGNOSIS BASED ON COMPRESSED SENSING AND MULTILAYER EXTREME LEARNING MACHINE
Published 2021-01-01Subjects: “…Compressed sensing…”
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77
1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model
Published 2014-09-01Subjects: “…compressed sensing…”
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78
Compressed Sensing-Based Order Analysis for Blade Tip Timing Signals Measured at Varying Rotational Speed
Published 2020-01-01“…To overcome these difficulties, a compressed sensing-based order analysis (CSOA) method was proposed. …”
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79
Fast Compressed Sensing MRI Based on Complex Double-Density Dual-Tree Discrete Wavelet Transform
Published 2017-01-01“…Compressed sensing (CS) has been applied to accelerate magnetic resonance imaging (MRI) for many years. …”
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80
Fast, super‐resolution sparse inverse synthetic aperture radar imaging via continuous compressive sensing
Published 2022-05-01“…This paper proposes a fast, super‐resolution imaging method employing continuous compressive sensing for sparse‐aperture ISAR. First, the received echo in each range bin is characterised as a linear combination of multiple frequencies shown in a continuous atomic set, established into an atomic norm minimisation (ANM) mode. …”
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