Engineering signal processing based on adaptive step-changed stochastic resonance
By L. Qiang, Tai-yong Wang, Y. Leng, Wang Wei, Guo-feng Wang. 2007
104 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Global and Planetary Change, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/810590a3909a9de52b0dce7c615b5a991c90c490
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Xiang Li
- Qian Ding
- Jianqiao Sun
- Jinyang Jiao
- Dhiraj Neupane
- Paulo da Costa
- Manuel Arias Chao
- Ming Zhao
Citations in the corpus
- Multi-Layer domain adaptation method for rolling bearing fault diagnosis (2019, methodology): “Traditionally, many signal processing methods have been applied to machinery fault signal analysis, including wavelet analysis [2, 3], stochastic resonance techniques [4, 16, 17] and so forth [5–8].”