Cargando…

A Blind Spectrum Sensing Method Based on Deep Learning

Spectrum sensing is one of the technologies that is used to solve the current problem of low utilization of spectrum resources. However, when the signal-to-noise ratio is low, current spectrum sensing methods cannot well-handle a situation in which the prior information of the licensed user signal i...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yang, Kai, Huang, Zhitao, Wang, Xiang, Li, Xueqiong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567377/ https://www.ncbi.nlm.nih.gov/pubmed/31100901 http://dx.doi.org/10.3390/s19102270

Ejemplares similares

Spectrum Sensing Method Based on Information Geometry and Deep Neural Network
por: Du, Kaixuan, et al.
Publicado: (2020)

Design of a Single Channel Modulated Wideband Converter for Wideband Spectrum Sensing: Theory, Architecture and Hardware Implementation
por: Liu, Weisong, et al.
Publicado: (2017)

Dynamic Allocation Method of Economic Information Integrated Data Based on Deep Learning Algorithm
por: Cao, Zhitao
Publicado: (2022)

An Event Recognition Method for Φ-OTDR Sensing System Based on Deep Learning
por: Shi, Yi, et al.
Publicado: (2019)

A Novel Prediction Model for Malicious Users Detection and Spectrum Sensing Based on Stacking and Deep Learning
por: Benazzouza, Salma, et al.
Publicado: (2022)

A deep learning method for optimizing semantic segmentation accuracy of remote sensing images based on improved UNet
por: Wang, Xiaolei, et al.
Publicado: (2023)

A Change Detection Method for Remote Sensing Images Based on Coupled Dictionary and Deep Learning
por: Yang, Weiwei, et al.
Publicado: (2022)

A Method for Extracting Building Information from Remote Sensing Images Based on Deep Learning
por: Li, Lianying, et al.
Publicado: (2022)

Digital Twins Model of Industrial Product Management and Control Based on Lightweight Deep Learning
por: Huang, Zuoyue, et al.
Publicado: (2022)

Spectrum Sensing Method Based on Residual Dense Network and Attention
por: Wang, Anyi, et al.
Publicado: (2023)

A deep learning method for the recognition of solar radio burst spectrum
por: Guo, Jun-Cheng, et al.
Publicado: (2022)

A Novel Recovery Method of Soft X-ray Spectrum Unfolding Based on Compressive Sensing
por: Xia, Nan, et al.
Publicado: (2018)

Atmospheric Turbulence Aberration Correction Based on Deep Learning Wavefront Sensing
por: You, Jiang, et al.
Publicado: (2023)

Improved runoff forecasting based on time-varying model averaging method and deep learning
por: Ran, Jinlou, et al.
Publicado: (2022)

Research on remote sensing image extraction based on deep learning
por: Shun, Zhao, et al.
Publicado: (2022)

DeepASDPred: a CNN-LSTM-based deep learning method for Autism spectrum disorders risk RNA identification
por: Fan, Yongxian, et al.
Publicado: (2023)

Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method
por: Huang, Kai-Yao, et al.
Publicado: (2019)

Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing
por: Huang, Kaihong, et al.
Publicado: (2021)

Deep Learning-Based Spread-Spectrum FGSM for Underwater Communication
por: Qasem, Zeyad A. H., et al.
Publicado: (2020)

Polarization Super-Resolution Imaging Method Based on Deep Compressed Sensing
por: Xu, Miao, et al.
Publicado: (2022)

Deep Learning-Based Method to Differentiate Neuromyelitis Optica Spectrum Disorder From Multiple Sclerosis
por: Kim, Hyunjin, et al.
Publicado: (2020)

Multiscale Rotated Bounding Box-Based Deep Learning Method for Detecting Ship Targets in Remote Sensing Images
por: Li, Shuxin, et al.
Publicado: (2018)

A lightweight attention deep learning method for human-vehicle recognition based on wireless sensing technology
por: Song, Mingxin, et al.
Publicado: (2023)

A Comprehensive Review of Deep-Learning-Based Methods for Image Forensics
por: Castillo Camacho, Ivan, et al.
Publicado: (2021)

Advances in Deep-Learning-Based Sensing, Imaging, and Video Processing
por: Zhang, Yun, et al.
Publicado: (2022)

Improving BLE-Based Passive Human Sensing with Deep Learning
por: Iannizzotto, Giancarlo, et al.
Publicado: (2023)

Semi-Blind Signal Extraction for Communication Signals by Combining Independent Component Analysis and Spatial Constraints
por: Wang, Xiang, et al.
Publicado: (2012)

Single-Nanoparticle Orientation Sensing by Deep Learning
por: Hu, Jingtian, et al.
Publicado: (2020)

A Novel Catheter Shape-Sensing Method Based on Deep Learning with a Multi-Core Optical Fiber
por: Han, Fei, et al.
Publicado: (2023)

Dynamic Digital Channelizer Based on Spectrum Sensing
por: Hu, Junpeng, et al.
Publicado: (2015)

Federated Learning for 5G Radio Spectrum Sensing
por: Wasilewska, Małgorzata, et al.
Publicado: (2021)

Deep-learning-based information mining from ocean remote-sensing imagery
por: Li, Xiaofeng, et al.
Publicado: (2020)

SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing
por: Yang, Jianfei, et al.
Publicado: (2023)

Spectrum Sensing Implemented with Improved Fluctuation-Based Dispersion Entropy and Machine Learning
por: Baldini, Gianmarco, et al.
Publicado: (2021)

Adaptive Trust Threshold Model Based on Reinforcement Learning in Cooperative Spectrum Sensing
por: Xie, Gang, et al.
Publicado: (2023)

Inflation Prediction Method Based on Deep Learning
por: Yang, Cheng, et al.
Publicado: (2021)

New deep learning method for efficient extraction of small water from remote sensing images
por: Luo, Yuanjiang, et al.
Publicado: (2022)

Deep learning for blind structured illumination microscopy
por: Xypakis, Emmanouil, et al.
Publicado: (2022)

Dynamic Spectrum Sharing Based on Deep Reinforcement Learning in Mobile Communication Systems
por: Liu, Sizhuang, et al.
Publicado: (2023)

Applications of deep learning methods in digital biomarker research using noninvasive sensing data
por: Jeong, Hoyeon, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_o8a86qgr5dq5rscjoap07gfqt6