Infrared and Laser Engineering, Volume. 47, Issue 7, 726005(2018)
De-noising nonstationary signal based on sparse representation and particle swarm optimization
It is difficult and important to de-noise nonstationary signal. To this end, a new noise attenuation method for nonstationary signal was proposed based on sparse representation and Particle Swarm Optimization(PSO). A redundant dictionary which is insensitive to useful signal was developed for the representation of cultural noises. PSO was used to improve the search strategy of Matching Pursuit(MP). Simulated experiments and real MT data were used to test the proposed scheme. As a conclusion, not only charge-discharge-like noise can be effectively removed, spikes and some other irregular noise can also be well suppressed. The apparent resistivity and phase curves obtained after applying our scheme are greatly improved over previous.
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Ye Hua, Tan Guanzheng, Li Guang, Liu Xiaoqiong, Li Jin, Zhou Cong, Zhu Huijie. De-noising nonstationary signal based on sparse representation and particle swarm optimization[J]. Infrared and Laser Engineering, 2018, 47(7): 726005
Category: 信息获取与辨识
Received: Feb. 5, 2018
Accepted: Mar. 3, 2018
Published Online: Aug. 30, 2018
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