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Performance analysis of cooperative cognitive radio networks based on hybrid NOMA/OMA and best relay selection
期刊论文
IET Communications, 2022
作者:
Li, Suoping
;
Liang, Wenwu
;
Xu, Qianyu
;
Yang, Nana
;
Jia, Kejun
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  |  
浏览/下载:29/0
  |  
提交时间:2022/09/22
Cognitive radio
Decoding
Error correction
Outages
Cooperative Cognitive Radio Networks
Cooperative schemes
Multiple access
Network-based
Non-orthogonal
Performances analysis
Retransmissions
Secondary networks
Secondary user
Superimposed signal
Optimization Design and Performance Analysis of Improved IEEE802.11p MAC Mechanism Based on High Mobility of Vehicle
期刊论文
Mathematical Problems in Engineering, 2022, 卷号: 2022
作者:
Peng, Jiankui
;
Li, Suoping
;
Dou, Zufang
;
Yang, Sa
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  |  
浏览/下载:11/0
  |  
提交时间:2022/07/20
Network performance
Vehicle performance
Vehicle transmissions
Core factors
Design Analysis
High mobility
High Speed
IEEE802.11p
Mechanism-based
Optimization design
Performances analysis
Vehicle mobility
Vehicular Adhoc Networks (VANETs)
Soft forwarding technique for unitary space-time modulation
期刊论文
IET communications, 2013, 卷号: 7, 期号: 16, 页码: 1810-1817
作者:
Qianqian Liu
;
Yewen Cao
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/23
error statistics
fading channels
maximum likelihood detection
radio
receivers
radio transmitters
amplify and forward communication
SNR
gain
parallel relay network
bit-error-rate performances
amplify-and-forward schemes
detect-and-forward schemes
generalised
signal-to-noise ratio
detection methods
normalisation factors
relay
forwarding functions
maximum-likelihood detection
UST signal
source
unitary space-time signal
relay regenerates signal
receivers
transmitters
channel state information
piecewise-constant fading
scenarios
estimate-and-forward
information-based forwarding
soft
forwarding schemes
unitary space-time modulation
soft forwarding
technique
A study of operation performance of network cooperation based high-tech enterprise cluster
期刊论文
PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, 2010, 页码: 527-529
作者:
Deng, FM
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浏览/下载:4/0
  |  
提交时间:2019/02/28
network cooperation
high-tech enterprise cluster
operation performances
network performance
enterprise resource management
Non-stationary vibration signal analysis and fault diagnosis method of aircraft power plant using wavelet network
会议论文
Chinese Control and Decision Conference 2008, CCDC 2008, Yantai, Shandong, China, July 2, 2008 - July 4, 2008
作者:
Zhao, Jianming
;
Liu, Jinjun
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  |  
浏览/下载:4/0
  |  
提交时间:2017/01/17
Electric fault currents
Aircraft
Curve fitting
Electric power plants
Least squares approximations
Power plants
Signal analysis
Signal processing
Speech recognition
Systems engineering
Telecommunication
Wavelet transforms
Aero engines
Aeroengine
Eigenvectors
Fault diagnosis
Fault diagnosis method
Fault patterns
Feature vectors
Multi-resolution analysis
Network performances
Network structures
Non-stationary
Pattern recognition
Recursive orthogonal least squares algorithm
Self-organizing learning
Self-organizing learning array
Simulation results
Trained network
Training and testing
Vibration signal analysis
Wavelet networks
Wavelet transform
Wavelet packet and neural network basis medical image compression (EI CONFERENCE)
会议论文
4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China
Zhao X.
;
Wei J.
;
Zhai L.
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  |  
浏览/下载:14/0
  |  
提交时间:2013/03/25
It is difficult to get high compression ratio and good reconstructed image by conventional methods
we give a new method of compression on medical image. It is to decompose and reconstruct the medical image by wavelet packet. Before the construction the image
use neural network in place of other coding method to code the coefficients in the wavelet packet domain. By using the Kohonen's neural network algorithm
not only for its vector quantization feature
but also for its topological property. This property allows an increase of about 80% for the compression rate. Compared to the JPEG standard
this compression scheme shows better performances (in terms of PSNR) for compression rates higher than 30. This method can get big compression ratio and perfect PSNR. Results show that the image can be compressed greatly and the original image can be recovered well. In addition
the approach can be realized easily by hardware.
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