Current state of nonlinear-type time–frequency analysis and applications to high-frequency biomedical signals

Hau Tieng Wu

doi:10.1016/j.coisb.2020.07.013

Current state of nonlinear-type time–frequency analysis and applications to high-frequency biomedical signals

Hau Tieng Wu

Mathematics

Research output: Contribution to journal › Review article › peer-review

Abstract

Motivated by analyzing complicated time series, nonlinear-type time–frequency analysis has become an active research topic in the past decades. Those developed tools have been applied to various problems. In this article, we review those developed tools and summarize their applications to high-frequency biomedical signals. They are applied to extract useful features from the signal or quantify its dynamical behavior for the subsequent statistical analysis.

Original language	English (US)
Pages (from-to)	8-21
Number of pages	14
Journal	Current Opinion in Systems Biology
Volume	23
DOIs	https://doi.org/10.1016/j.coisb.2020.07.013
State	Published - Oct 2020

Keywords

Amplitude modulation
Instantaneous frequency
Time–frequency representation
Wave-shape function

ASJC Scopus subject areas

Modeling and Simulation
General Biochemistry, Genetics and Molecular Biology
Drug Discovery
Computer Science Applications
Applied Mathematics

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10.1016/j.coisb.2020.07.013

Cite this

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abstract = "Motivated by analyzing complicated time series, nonlinear-type time–frequency analysis has become an active research topic in the past decades. Those developed tools have been applied to various problems. In this article, we review those developed tools and summarize their applications to high-frequency biomedical signals. They are applied to extract useful features from the signal or quantify its dynamical behavior for the subsequent statistical analysis.",

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AB - Motivated by analyzing complicated time series, nonlinear-type time–frequency analysis has become an active research topic in the past decades. Those developed tools have been applied to various problems. In this article, we review those developed tools and summarize their applications to high-frequency biomedical signals. They are applied to extract useful features from the signal or quantify its dynamical behavior for the subsequent statistical analysis.

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KW - Instantaneous frequency

KW - Time–frequency representation

KW - Wave-shape function

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ER -

Current state of nonlinear-type time–frequency analysis and applications to high-frequency biomedical signals

Abstract

Keywords

ASJC Scopus subject areas

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