OriginLab Corporation - Data Analysis and Graphing Software - 2D graphs, 3D graphs, Contour Plots, Statistical Charts, Data Exploration, Statistics, Curve Fitting, Signal Processing, and Peak Analysis     
 
Skip Navigation Links
All BooksExpand All Books
Origin HelpExpand Origin Help
Signal ProcessingExpand Signal Processing
2D Wavelet TransformsExpand 2D Wavelet Transforms
2D Wavelet DecompositionExpand 2D Wavelet Decomposition

18.13.1 2D Wavelet Decomposition

This function performs single-level 2D wavelet decomposition with the chosen wavelet decomposition filters. The result is comprised of four matrices: the approximation coefficients, the horizontal details coefficients, the vertical details coefficients, and the diagonal details coefficients.

The decomposition filters are determined by the chosen wavelet. Currently, three types of wavelets are available, including Haar, Daubechies (N = 2,3,4,5,6,7,8,9,10), and Biorthogonal (Nr.Nd=1.1,1.3,1.5,2.2,2.4,2.6,3.1,3.3,3.5,3.7).

Note that the end extension method for wavelet decomposition is always assumed to be periodic.

To use 2D wavelet decomposition:

  1. Make a matrix book active.
  2. Select Analysis: Signal Processing: Wavelet: 2D Decompose from the Origin menu.
The DWT2 Dialog Box
Algorithm
Reference
 

© OriginLab Corporation. All rights reserved.