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Research on Hilbert-Huang transform

Tang Tai-qing

Open publisher page 1 citations

Abstract

Nonlinear and non-stationary signal processing has been always a hot issue.Hilbert-Huang transform is a new signal processing method,which can get the time-frequency-energy distribution characteristics of the signals through the empirical mode decomposition(EMD) and Hilbert transform.But when it is in application,the results gained are not very precise,some improvements are proposed,and it proved feasibility and useful through MATLAB simulation.

About this research paper

What this paper is about

Nonlinear and non-stationary signal processing has been always a hot issue.Hilbert-Huang transform is a new signal processing method,which can get the time-frequency-energy distribution characteristics of the signals through the empirical mode decomposition(EMD) and Hilbert transform.But when it is in application,the results gained are not very precise,some improvements are proposed,and it proved feasibility and useful through MATLAB simulation.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Nonlinear and non-stationary signal processing has been always a hot issue.Hilbert-Huang transform is a new signal processing method,which can get the time-frequency-energy distribution characteristics of the signals through the empirical mode decomposition(EMD) and Hilbert transform.But when it is in application,the results gained are not very precise,some improvements are proposed,and it proved feasibility and useful through MATLAB simulation.

Key concepts: Hilbert–Huang transform, Hilbert transform, Hilbert spectral analysis, Signal processing, MATLAB, Computer science, Nonlinear system, Algorithm

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