The Novel Method of Magnetic Anomaly Recognition Based on the Fourth Order Aperiodic Stochastic Resonance

Author:

Qin Tao1ORCID,Zhou Lingyun2ORCID,Chen Shuai1,Chen Zhengxiang1

Affiliation:

1. Center for Magnetic Research, Yichang Testing Technique Research Institute, Yichang, China

2. School of Software Engineering, Tongji University, Shanghai, China

Funder

State Administration of Science, Technology and Industry for National Defence

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Reference36 articles.

1. Efficient tracking of the cross-correlation coefficient

2. Weak signal detection based on cascaded piecewise-linear stochastic resonance;sun;Chinese Journal of Mechanical Engineering,2014

3. Stochastic resonance of ensemble neurons for transient spike trains: Wavelet analysis

4. Signal feature extraction based on cascaded multi-stable stochastic resonance denoising and EMD method

5. Real-time and robust method for hand gesture recognition system based on cross-correlation coefficient;azad;arXiv 1408 1759,2014

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