S Wavelets Module StatSci Division of MathSoft, Seattle, WA

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SWavelets ModuleStatSci Division of MathSoft,
Seattle, WA
Innovation - SWavelets is a commercial
toolkit that allows users to apply wavelet
analysis to an extremely broad range of problems
involving signal, time series or image data.
Accomplishments - The product is a module to the
existing S-Plus software package that has been
available commercially since 1995. - As a module
of S-Plus, SWavelets allows users to develop a
thorough, penetrating analysis of signal, time
series or image data. This tool kit offers more
than 500 analysis functions within an
object-oriented environment. - SWavelets is
available for both Unix and MS-Windows work
stations. - The book Applied Wavelet
Analysis with S-Plus was written under the same
SBIR Phase II . - StatSci is integrating the
SWavelets module into its MathCad product line,
which is expected to be released commercially in
late spring/early summer 1998. MathCad is the
premier mathematical and engineering package for
PCs.
This screen demonstrates the best wavelet packet
analysis of a quadratic chirp signal.
Commercialization - SWavelets is being
implemented as a module of the patented S-Plus
software program, one of the most powerful data
analysis software packages available today. -
The target audience is data analysts, scientists
and engineers interested in the wavelet analysis
of signals, time series, images and other
technical and scientific data. - SWavelets is
sold separately or as an integrated portion of
the S-Plus software package. - From 1995 through
January 1998, StatSci sold 526 units in the
United States and approximately 155 units
worldwide. - Sales of Applied Wavelet Analysis
with S-Plus has been more than 1,400 copies as of
February 1998.
Government/Science Applications - The SWavelets
module applications include signal processing,
medical imaging, time series analysis, pattern
recognition, non-linear signal estimation, data
compression and transformation of objects from
one-dimensional to two-dimensional data. - Other
applications that USG utilizes include noise
removal, time/frequency de-noising, fingerprint
image compression and prototyping fast
algorithms. - Other features of the module
that lead to other applications include perfect
reconstruction property dual implementation in
S-Plus and C languages orthogonal and
biorthogonal wavelets the ability to create new
wavelet filters support for arbitrary
signal/image sizes range of boundary treatment
rules and wavelet matrix filter operators.
Points of Contact NASA Kirk Sharp,
228/688-1929. StatSci George Mellman,
206/283-8802 1991 SBIR Phase II SS 13-001
Stennis Space Center Date of Update March 20,
1998 Success Story Contract NAS13-587-P1