SignalDecomp/0.9 — Signal Decomposition and Correlation

Type:package
State:under development and testing
Servers:vm2, vm1

About

This package is provides an easy way to do a signal decomposition and the time correlation between two signs. Is based on the methods Empirical Mode Decomposition.

The empirical mode decomposition (EMD) first proposed by Huang et al. [1] is designed for the time-frequency analysis of real-world signals. By applying it, the signal can be decomposed into a number of oscillatory modes named intrinsic mode functions (IMFs). The IMFs are obtained directly from the data with no a priori assumptions regarding the data nature, making EMD suitable for the analysis of nonlinear and nonstationary signals. And then, these IMFs provide meaningful instantaneous frequency estimates through Hilbert-Huang transform. The time-frequency analysis via EMD has found a wide range of applications in signal processing and related fields.

sDL structure

Follows the standard sDL structure:

//%SCOPE description text

#include "somefile"

BEGIN-CODE [ SignalDecomp/0.9 | {package options} ]
{package commands}
END-CODE

Commented lines, in the CODE body text, start with “##”.

Namespaces and commands

The standard “core” namespace is available.

Folders

(information will be added later by the package administrator)

Examples

From sDL projects

References

[1]
    1. Huang, Z. Shen, S. R. Long et al., “The empirical mode decomposition and the Hubert spectrum for nonlinear and non-stationary time series analysis,” Proceedings of the Royal Society A, vol. 454, no. 1971, pp. 903–995, 1998.

(Documentation updated on 2018-12-31 11:48)