SOFTWARE SANTIS 1.1 for time series and signal analysis

[Ralf Vandenhouten]

SANTIS 1.1, the latest update of the SANTIS software package for signal 
processing and systems analysis, is now available. 
SANTIS is a tool designed for the analysis of signals and time series 
data of any kind, in particular for scientific purposes. It was
developed at the Laboratory of Biomedical Systems Analysis (Institute
of Physiology) at the University of Aachen, Germany. 
The guidelines for the design of SANTIS were:
  * Easy-to-use graphical user interface
  * State-of-the-art functionality for modern systems analysis
  * High level of integration of a wide variety of signal processing
    functions in a common interface
  * Support of standard hardware and software platforms
Besides a large number of standard facilities for signal processing 
SANTIS provides many advanced features like wavelet techniques and 
methods of nonlinear dynamics.
Among the new features of version 1.1 are:
  * Support of various signal file formats (binary and ASCII SANTIS
formats,
    MegaWave, WAVE audio files, ASCII raw data)
  * Logarithmic scaling
  * Median and central moments
  * Integration
  * Mathematical functions
  * Improved display facilities for wavelets and wavelet transforms
  * Wavelet sure shrinking
  * 2D and 3D delay plots
 
SANTIS 1.1 is free software for non-commercial users (if you are a 
professional user please contact me) and comes with full documentation. 
Currently it is available for Windows 3.1x, Windows 95, Windows NT,
Linux, 
SUN Solaris 2, and Silicon Graphics Irix 5.3, and can be downloaded
directly 
from the SANTIS WWW page
 
        http://www.physiology.rwth-aachen.de/santis/
 
or by anonymous ftp from our ftp-server
 
        ftp://ftp.physiology.rwth-aachen.de:/pub/santis
 
You're very welcome,
 
Ralf Vandenhouten

-- 
 Ralf Vandenhouten                  Phone: +49-241-8088826 or 8088804
 Dept. of Physiology, RWTH Aachen   FAX:   +49-241-8888434
 Pauwelsstr. 30,   D-52057 Aachen
mailto:vanni at Physiology.RWTH-Aachen.DE
 http://WWW.Physiology.RWTH-Aachen.DE/~vanni/