20102010 3rd International Congress on Image and Signal ProcessingRequires access

Stochastic resonance and its application in detecting weak signals

XI Zhu-you, Yunju Yan, Yu Zhang, Liu Liu

Open publisher page 2 citations

Abstract

This paper presents stochastic resonance of a bistable system. It aims at solving weak signals problem in the engineering community. It studied utilization of stochastic resonance in heavy background noise in order to extract a useful signal from noise. Two methods of stochastic resonance are introduced in the paper.

About this research paper

What this paper is about

This paper presents stochastic resonance of a bistable system. It aims at solving weak signals problem in the engineering community. It studied utilization of stochastic resonance in heavy background noise in order to extract a useful signal from noise. Two methods of stochastic resonance are introduced in the paper.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents stochastic resonance of a bistable system. It aims at solving weak signals problem in the engineering community. It studied utilization of stochastic resonance in heavy background noise in order to extract a useful signal from noise. Two methods of stochastic resonance are introduced in the paper.

Key concepts: Stochastic resonance, Bistability, Noise (video), Resonance (particle physics), Stochastic process, Computer science, SIGNAL (programming language), Statistical physics

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