title: A method based on stochastic resonance for the detection of weak analytical signal.
abstract: An effective method for detection of weak analytical signals with strong noise background is proposed based on the theory of stochastic resonance (SR). Compared with the conventional SR-based algorithms, the proposed algorithm is simplified by changing only one parameter to realize the weak signal detection. Simulation studies revealed that the method performs well in detection of analytical signals in very high level of noise background and is suitable for detecting signals with the different noise level by changing the parameter. Applications of the method to experimental weak signals of X-ray diffraction and Raman spectrum are also investigated. It is found that reliable results can be obtained.
authors.affiliation: Department of Chemistry, University of Science and Technology of China, Hefei, Anhui 230026, China.
authors.forename: Xiaojing
authors.initials: X
authors.lastname: Wu
authors.forename: Weiming
authors.initials: W
authors.lastname: Guo
authors.forename: Wensheng
authors.initials: W
authors.lastname: Cai
authors.forename: Xueguang
authors.initials: X
authors.lastname: Shao
authors.forename: Zhongxiao
authors.initials: Z
authors.lastname: Pan