04 March, 1999
Dear All,
More Reviewers Wanted
=====================
The following software is available for evaluation.
Interested reviewers (UK Academics) should please contact me for further
information.
Wavelet Explorer
Wavelet analysis, in contrast to Fourier analysis, uses approximating
functions that are localised 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. Visualise 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
visualisation 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 visualisation algorithms as you
extend and customise your own wavelet analysis tools.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|