Extraction method of multi-scale characteristic and fluctuation parameter of sea wave based on EMD

A multi-scale feature and extraction method technology, applied in special data processing applications, electrical digital data processing, instruments, etc., can solve problems such as failure to show non-stationary waves and fractals

Inactive Publication Date: 2013-02-13
JIANGSU UNIV OF SCI & TECH
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However, this method fails to represent the no

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  • Extraction method of multi-scale characteristic and fluctuation parameter of sea wave based on EMD
  • Extraction method of multi-scale characteristic and fluctuation parameter of sea wave based on EMD
  • Extraction method of multi-scale characteristic and fluctuation parameter of sea wave based on EMD

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Embodiment Construction

[0023] Now, the present invention will be described in detail in conjunction with the accompanying drawings. A method for extracting multi-scale features and fluctuation parameters of ocean waves based on EMD, comprising the following steps:

[0024] 1. Read in the fixed-point measured or simulated wave time series, denoted as x(m); where m=1,2,...,M represents the discrete interval of the measured or simulated waves, and M represents the number of points in the sequence .

[0025] 2. According to data analysis requirement 1, determine the number N of wave scales for analysis, usually N takes an integer between 5 and 10.

[0026] 3. Use EMD method 2 to decompose the wave time series x(m) to obtain N IMF sequences, which are denoted as [c 1 (m); c 2 (m);...;c N (m)], including the following processes:

[0027] (1). Let n'=1, c 0 (m)=0, r 0 (m)=x(m), m=1,2,...,M, m is the interval of measuring or simulating waves;

[0028] (2). Let k=1, h 0 (m)=r n '(m), from sequence ...

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Abstract

The invention discloses an extraction method of a multi-scale characteristic and a fluctuation parameter of a sea wave based on EMD (Empirical Mode Decomposition). The method comprises the steps of reading in a sea wave time sequence measured at a fixed point or a simulated sea wave sequence, determining and analyzing the sea wave scale according to the demand of data analysis, decomposing the sea wave time sequence by an EMD method to obtain a plurality of IMF (Intrinsic Mode Function) sequences, computing a fractal characteristic of an IMF component by a q-order correlation integral and differential box counting method, computing a statistical characteristic of the IMF component by a moment estimation method, and computing the fluctuation parameter of the IMF component by a spectrum method. The fractal characteristic, statistical characteristic and fluctuation parameter of the IMF component can disclose an internal structure and an external representation characteristic of the sea wave. The method can be used for modeling, analyzing and predicting the sea wave.

Description

technical field [0001] The invention belongs to the technical field of physical oceanography, and in particular relates to an EMD-based method for extracting multi-scale features and fluctuation parameters of ocean waves. Background technique [0002] Ocean wave is a fluctuating phenomenon that occurs on the sea surface, and it is closely related to human economic and social activities. The study of ocean waves is of great significance for ensuring the safety of marine traffic, effectively managing the marine environment and sustainable utilization of marine resources. [0003] Research shows that ocean waves have the characteristics of randomness, nonlinearity, non-stationarity and fractal. From different angles and application backgrounds, a variety of wave models and analysis methods have been established. For example, based on fluid mechanics equations, deep water surface wave theory, small-amplitude wave theory and finite-amplitude wave theory are established. Numeric...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 杨永红林明张贞凯凌霖
Owner JIANGSU UNIV OF SCI & TECH
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