IDL Wavelet Toolkit User's Guide

Chapter 1: Introduction to the IDL Wavelet Toolkit 7Features• Time-series analysis— time-scale power spectrum, noise filtering,multiresolution analysis;• Self-similar series— fractals, long-memory processes;• Turbulence— detection of coherent structures;• Signal processing— filtering and denoising;• Image processing— edge detection, compression, enhancement.The IDL Wavelet Toolkit has the following features:Wavelet AppletThe Toolkit Applet lets you manage your projects, import data and wavelets,visualize the results, and add your own user tools.Continuous Wavelet TransformAllows you to compute the continuous wavelet transform on one-dimensionalvectors. This routine is written in IDL .pro code.Discrete Wavelet TransformAllows you to compute the discrete wavelet transform (partial or full) on multidimensionaldata. These routines are written in C and contained in the IDL waveletdlm.Wavelet FunctionsThe Toolkit comes with several wavelet functions that are accessible both inside theApplet and from your own programs. You can easily add your own wavelet functionsto the Toolkit.3D Wavelet Power SpectrumCallable from within the Applet and from your own programs, the visualizer plots thewavelet power as a three-dimensional surface, with optional contour lines. You canrotate, translate, and find the power at a particular location.Multiresolution AnalysisStand alone or callable from the Applet, this routine produces plots for the smooth(low pass), detail (band-pass), and rough (high-pass) components of your data.IDL Wavelet ToolkitWhat Is the IDL Wavelet Toolkit?