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 explore the extraordinary array of potential applications of wavelet analysis. Ranging from signal and image processing to data analysis, Wavelet Explorer brings this 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.
The package comes with electronic documentation, which is fully
integrated with the Mathematica Help Browser.
Wavelet Explorer 1.3
requires Mathematica 7 and is available for all
Mathematica platforms.
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