2011Unpublished venueRequires access

Distinction non-stationary pulse wave signals with HHT method

Qingpeng Han

Open publisher page 1 citations

Abstract

In order to distinguish the difference of non-stationary pulse wave signals, the novel time-frequency analysis approach, i.e. Hilbert-Huang transform (HHT), is applied in this paper. First Hilbert-Huang transform is briefly introduced. Secondly, two differently non-stationary pulse wave signals are described in Empirical Mode Decomposition (EMD). With these results, the two pulse wave signals that looked apparently similar in time waves are distinctly different from each other. It is proved that HHT is effective for the purpose of distinction of non-stationary analysis.

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What this paper is about

In order to distinguish the difference of non-stationary pulse wave signals, the novel time-frequency analysis approach, i.e. Hilbert-Huang transform (HHT), is applied in this paper. First Hilbert-Huang transform is briefly introduced. Secondly, two differently non-stationary pulse wave signals are described in Empirical Mode Decomposition (EMD). With these results, the two pulse wave signals that looked apparently similar in time waves are distinctly different from each other. It is proved that HHT is effective for the purpose of distinction of non-stationary analysis.

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Available abstract

In order to distinguish the difference of non-stationary pulse wave signals, the novel time-frequency analysis approach, i.e. Hilbert-Huang transform (HHT), is applied in this paper. First Hilbert-Huang transform is briefly introduced. Secondly, two differently non-stationary pulse wave signals are described in Empirical Mode Decomposition (EMD). With these results, the two pulse wave signals that looked apparently similar in time waves are distinctly different from each other. It is proved that HHT is effective for the purpose of distinction of non-stationary analysis.

Key concepts: Hilbert–Huang transform, Pulse wave, Pulse (music), Time–frequency analysis, Instantaneous phase, Acoustics, Mathematics, Hilbert spectral analysis

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