Wavelet Toolbox

One-Dimensional Discrete Stationary Wavelet Analysis

This section takes you through the features of one-dimensional discrete stationary wavelet analysis using the MATLAB Wavelet Toolbox. For more information see Discrete Stationary Wavelet Transform (SWT).

The Wavelet Toolbox provides these functions for one-dimensional discrete stationary wavelet analysis. For more information on the functions, see the reference pages.

Analysis-Decomposition Functions

Function Name	Purpose
swt	Decomposition

Synthesis-Reconstruction Functions

Function Name	Purpose
iswt	Reconstruction

The stationary wavelet decomposition structure is more tractable than the wavelet one. So the utilities, useful for the wavelet case, are not necessary for the stationary wavelet transform (SWT).

In this section, you'll learn to

• Load a signal
• Perform a stationary wavelet decomposition of a signal
• Construct approximations and details from the coefficients
• Display the approximation and detail at level 1
• Regenerate a signal by using inverse stationary wavelet transform
• Perform a multilevel stationary wavelet decomposition of a signal
• Reconstruct the level 3 approximation
• Reconstruct the level 1, 2, and 3 details
• Reconstruct the level 1 and 2 approximations
• Display the results of a decomposition
• Reconstruct the original signal from the level 3 decomposition
• Remove noise from a signal

Since you can perform analyses either from the command line or using the graphical interface tools, this section has subsections covering each method.

The final subsection discusses how to exchange signal and coefficient information between the disk and the graphical tools.

Image Conversion

One-Dimensional Analysis Using the Command Line

© 1994-2005 The MathWorks, Inc.