Wavelet Toolware: Software for Wavelet Training Authors: Charles K. Chui Andrew K. Chan C. Steve Liu Approximate price: $59.95 In-Stock: Ships within 24 hours at the booksellers listed below. Pub. Date: January 1998
From Booknews: This software is designed as a learning and experimentation tool (rather than for use in solving high-precision computational problems), and offers users hands-on practice in the area of wavelet analysis and its applications. It supports several different wavelets, and contains, among other algorithms and codes, the one-dimensional and two-dimensional discrete wavelet transforms and their inverse transforms, as well as computations of the continuous wavelet transform and the short time Fourier transform. Simple signal processing applications, such as thresholding and noise removal are also included as examples of how to use the software. Annotation c. by Book News, Inc., Portland, Or.
Buy WAVELET TOOLWARE software ane book from AMAZON.COM
Buy WAVELET TOOLWARE software from Barnes and Noble
The above looks very inexpensive an very good. It only costs $265 and has wavelet analysis as well as a wide range of functions normally only found in software costing much more. There is a signal processing software add-on for $135 and a Kalman Filtering add-on for $149.
Mathworks: Matlab and related products
MATLAB is an integrated technical computing environment that combines numeric computation, advanced graphics and visualization, and a high-level programming language. MATLAB includes hundreds of functions for: • Data analysis and visualization • Numeric and symbolic computation • Engineering and scientific graphics • Modeling, simulation, and prototyping • Programming, application development, and GUI design
Galateia Corporation (Timestat FREEWARE)
TimeStat version 1.20
A freeware program with features for decorrelation/dimension reduction (principal components analysis), adaptive moving averages, wavelets, lagged autocorrelations and statistical computations, take a look at TimeStat.
We are proud to represent the premiere Web site promoting the availability of TimeStat, a freeware program which provides for quick statistical study of time series and pre-processing functions useful to neural network development within a spreadsheet environment.
Applications using many of the features of TimeStat described below have been published in the Journal. These include applications in time series prediction and financial forecasting, data pre-processing and decorrelation, data filtering and analysis. The newest version adds several useful tools. The current 16-bit version requires Windows 3.1. A 32-bit version is under development.
Features in Version 1.20:
spreadsheet functionalities Excel 4.0 formula compatibility charting features wavelets principal components analysis (dimension reduction/decorrelation) adaptive moving averages fractional differencing BDS statistics lagged autocorrelations partial autocorrelation function Fast Fourier Transform and inverse power spectrum Fast Hartley Transform and inverse Z-scores Chi-square statistics histograms
WavBox Software is the original MATLAB Wavelet Toolbox, the first available as free software in 1991, and the first available as commercial software in 1994.
A Brief Introduction to the WavBox Software Library.
Page Contents
Summary of the WavBox Software Library Endorsements from WavBox Software Users Demonstration of Continous Wavelet Transform Comparison of Continuous, Nonsubsampled, and Discrete Wavelet Transforms Comparison of Wavelet and Cosine Packet Decompositions Web Site Page Directory
Rice Wavelet Toolbox for Matlab
Waterloo Maple Software Wavelet Share Libraries
Here is what is available in the daub directory.
Use it at your own risk... When 10 digits are printed for phi(4,2.1), this does not mean that all digits are correct (in fact, an argument like 2.1 is first converted to a dyadic rational k/2^Ndyad). However both the values of Digits and Ndyad can be increased to get more precision: in this sense the precision of the results of the daub package is arbitrary, a feature not found elsewhere.
One perfect application for daub is in teaching numerical analysis, where one can show on graphs the dilation equation, piece by piece: > p := 2; c:=array( 0..2*p-1, daubc(p) ); > plot({ seq( sum(c[k]*phi(p,2*x-k),k=0..m), m=0..2*p-1) }, x=0..2*p-1);
First the main package. ======================
daub.map - Coefficients, values, graphs, moments, and (anti)derivatives of Daubechies scaling functions/wavelets in Maple V. daub.hlp - Help text for the daub package, read by daub.map. ( >?daub ) daub.mac - macro definitions for all the global function names. (for library maintainance, read by daub.map via daubut.map)
Some utility routines. =====================
daubut.map - Accuracy estimation and refinement of approximations for the coefficients of Daubechies low pass filters. ( >?daubut ) daubut.hlp - Help text for the daubut package, read by daubut.map.
A demo prints 3 graphs and checks the numerical accuracy of function values. =====================================
daubdemo.map - Demonstration of facilities in the daub.map package. (This uses all functions and is a good test of validity of the daub package)
Optional functions for testing purposes. =======================================
daubcc.map - Correct coefficients of Daubechies low pass filters. daubcc.hlp - Help text for the daubcc package, read by daubcc.map.( >?daubcc )
daubdd.map - Find the 2p coefficients of the Daubechies Minium Phase filter using the Deslauriers-Dubuc Lagrange interpolation method. daubdd.hlp - Help text for the daubdd package, read by daubdd.map.( >?daubdd )
daublh.map - Find the 2p coefficients of the Daubechies Minium Phase filter using the original spectral method of Daubechies. daublh.hlp - Help text for the daublh package, read by daublh.map.( >?daubdd )
Minimal test ============
test.map - Hopefully, will print lots of "ok".
Visual Numerics
University of Missouri FTP site
Uvi_Wave Wavelet Toolbox Home Page
Yale University FTP site
Khoros Wavelet and Compression Toolbox
Dept. of Mathematics, University of South Carolina
Wavelets at Imager
The Imager Wavelet Library (wvlt) is a small set of routines that allow the user to manipulate wavelets. This package includes C source for the library and for three sample binaries that call it, some demos, and some (sparse) documentation. It was described in the above course.
You can download a UNIX shar file (its size is about 164KB) of the most recent release, 2.1, of this package. Alternatively, you can download a DOS zip file (about 148KB) with the same contents, except that the text files are in DOS format and compiled DOS executables are included.
WaveThresh is an add-on package for the statistical package S-PLUS.
WaveThresh contains S-Plus functions for performing one- and two-dimensional wavelet transforms and their inverses with a variety of wavelet families. It also contains the rudiments of a thresholding scheme for doing wavelet based curve-estimation.
We use the software extensively in our own research. See our Wavelets home page for further information.
Wavelet Explorer software from Wolfram Research
New Generation Signal and Image Analysis
Discover the power of wavelets! Wavelet analysis, in contrast to Fourier analysis, uses approximating functions that are localized in both time and frequency space. It is this unique characteristic that makes wavelets particularly useful, for example, in approximating data with sharp discontinuities.
Engineers, physicists, astronomers, geologists, medical researchers, and others have already begun exploring the extraordinary array of potential applications of wavelet analysis, ranging from signal and image processing to data analysis. Wavelet Explorer introduces you to this exciting new area and delivers a broad spectrum of wavelet analysis tools to your desktop.
Wavelet Explorer's ready-to-use functions and utilities let you apply a variety of wavelet transforms to your projects. Generate commonly used filters such as the Daubechies' extremal phase and least asymmetric filters, coiflets, spline filters, and more. Visualize wavelets and wavelet packets and zoom in on their details. You can transform your data to a host of wavelet bases, wavelet packet bases, or local trigonometric bases and do inverse transforms in one and two dimensions. Then view the transform in time-frequency space, selecting different bases and boundary conditions. Data compression and denoising are surprisingly simple procedures with Wavelet Explorer's built-in functions.
In addition to its impressive collection of powerful analysis and visualization tools, Wavelet Explorer is an excellent interactive tutorial for those who are new to wavelet theory. Clear examples start with the basics about wavelets and how to explore wavelet properties, then demonstrate how you can use the system to apply wavelet analysis techniques in your field.
Written in the Mathematica language, Wavelet Explorer's built-in functions and utilities are all fully programmable. Take advantage of Mathematica's thousands of powerful computational and visualization algorithms as you extend and customize your own wavelet analysis tools.
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