The study of fusion and super-resolution reconstruction based on particle swarm optimization and wavelet analysis

2017 ◽  
Author(s):  
Senhua Wang ◽  
Zhenli Ma ◽  
Ping Wan ◽  
Hao Cui ◽  
Bo Liu
Keyword(s):  
Particle Swarm Optimization ◽  
Wavelet Analysis ◽  
Particle Swarm ◽  
Super Resolution ◽  
Swarm Optimization

Signal-Noise Separation Method Based on PSO for Vibration Signals

2010 ◽  
Vol 159 ◽  
pp. 686-690
Author(s):  
Hong Xia Pan ◽  
Jin Ying Huang
Keyword(s):  
Particle Swarm Optimization ◽  
Wavelet Analysis ◽  
Blind Source Separation ◽  
Particle Swarm ◽  
Vibration Signal ◽  
Separation Method ◽  
Swarm Optimization ◽  
Vibration Signals ◽  
Signal Noise ◽  
Fault Information

The wavelet analysis is combined with particle swarm optimization (PSO) which is applied to the de-noise process of vibration responding signals in this paper. The fault information has been enhanced. Furthermore, the signal-noise separation method based on particle swarm optimization for vibration signal and the diagnosis precision enhancement technology are studied, by means of the blind source separation technique.

Closely Spaced Objects Infrared Super-Resolution Algorithm Based on Particle Swarm Optimization

2010 ◽  
Vol 30 (6) ◽  
pp. 1645-1650
Author(s):  
林两魁 Lin Liangkui ◽  
徐晖 Xu Hui ◽  
安玮 An Wei ◽  
谢恺 Xie Kai ◽  
龙云利 Long Yunli
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Super Resolution ◽  
Swarm Optimization ◽  
Resolution Algorithm
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