2018Communications in Nonlinear Science and Numerical SimulationRequires access

Recovering an unknown signal completely submerged in strong noise by a new stochastic resonance method

Dawen Huang, Jianhua Yang, Dengji Zhou, Miguel A. F. Sanjuán, Houguang Liu

Open publisher page 40 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

OpenAlex reports 40 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Key concepts: Stochastic resonance, SIGNAL (programming language), Signal transfer function, Noise (video), Correctness, Computer science, Energy (signal processing), Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
Recovering an unknown signal completely submerged in strong noise by a new stochastic resonance method — Research Paper | ScholarLens