Perform complex signal
analysis with a mouse click - no programming required !
AutoSignalTM
is the first and only program that completely automates the process
of analyzing signals. Save precious time by eliminating the programming
time normally required for performing sophisticated signal analysis.
AutoSignal takes full advantage of its graphical user intuitive interface
to simplify every aspect of operation, from data import to output
of results. Choose your analysis techniques from the menu or toolbar.
Select the algorithm and options from the interface. You get immediate
visual feedback with 2D or 3D graphs of your signal analysis plus
numeric summaries for reports.
Quickly locate your signal
components
AutoSignal
gives researchers the power to rapidly find components of complex
signals that normally require extensive programming and mathematical
routines. AutoSignal provides a vast array of spectral analysis
procedures to help you make intelligent conclusions for any application.
Built-in spectral analysis procedures include:
FFT
AutoRegressive
Moving Average
ARMA
Complex exponential modeling
Minimum variance methods
Eigen analysis frequency estimation and Wavelets
Precisely estimate with
advanced parametric modeling
With AutoSignal, you get
state-of-the-art parametric nonlinear modeling for sinusoid and damped
sinusoid models. Non-linear optimization is also available as an independent
procedure or as an adjunct to each of the spectral algorithms. It
includes robust maximum-likelihood optimizations as well as automatic
parameter constraints. AutoRegressive linear models offer robust models
that can quickly handle smaller data sets that FFT cannot accurately
analyse.
Easily smooth and process
your signals
AutoSignal
gives researchers the power to rapidly find components of complex
signals that normally require Only AutoSignal offers so many different
user-friendly methods to manipulate signal data. You can inspect your
data stream in the Fourier domain and zero higher frequency points
- and see your results immediately in the time domain. This smoothing
technique allows for superb noise reduction while maintaining the
integrity of the original data stream. AutoSignal also includes eigendecomposition,
wavelet, Savitzky-Golay, Loess and detrending for smoothing and denoising.
Isolate components and detect signals with powerful filtering and
reconstruction techniques with Fourier, eigendecomposition and wavelet
methods. For instance, isolate components that appear and disappear
with wavelet filtering and reconstruction. Recover the true signal
that would have been measured using an ideal sensing system with Gaussian
and exponential deconvolution.
Graphically
review signal analysis results
As a powerful
visualization tool, AutoSignal automatically plots your peaks, contours
or 3D surfaces - so you don't have to perform additional steps to
see your results. Change any algorithm or analysis option on the fly
through the user interface and see instant results. Isolate components
of a signal graphically using eigen decomposition to display and select
eigen components in order to find very low frequency oscillatory components
or identify paired eigen modes producing a specific oscillation. Analyze
your results with residual and root plots and show statistical significance
and probability limits on your output graphs. Clearly present your
results with control over titles, fonts, colors, points, scaling,
axis scale, labels, grid and plot types.
Identify frequency and
power with Fourier Spectrum analysis
AutoSignal lets you see
a complete picture of the frequency space using the library of six
Fourier Spectrum methods with total flexibility. Solve the leakage
problem found with standard FFT by using one of the 30 included data
tapering windows. You can even make comparisons of performance of
various data tapering windows in a single spectral graph. AutoSignal
gives you access to the latest methodologies with techniques such
as FFT Multi-taper Spectrum analysis to help you better characterise
the power in each signal. Easily handle your unevenly sampled data
with Lomb-Scargle Fourier domain analysis with techniques that were
originally developed by astrophysicists.
Effortlessly analyze non-stationary
data with wavelets
Simultaneously
find the time and frequency localisation components of a non-stationary
periodic signal with Continuous Wavelet Spectrum analysis techniques.
AutoSignal gives you a choice of three adjustable mother wavelets:
Morlet, Paul and Gaussian Derivative - in both real and complex
forms to optimise localisation results. You can also perform power
analysis in either the time or the frequency range with specialised
in-depth analysis techniques to evaluate the signal.
Isolate components by signal strength
using eigendecomposition
In addition to FFT and wavelet spectral analysis techniques,
you can select from linear and non-linear methods that are right for
your application. The eigendecomposition procedures enable you to
visually select eigenmodes for signal-noise separation or component
isolation. With AutoSignal, you can also recover signal components
based on power - the component may be sinusoidal, a square wave, a
sawtooth or anharmonic pattern. You can confirm the presence of white
noise or isolate red noise by reconstructing only the noise eigenmodes.
Save precious research time with the
production facility
What once took hours now takes seconds
- with only a few mouse clicks. It's so easy - even novice users can
learn how to use AutoSignal in no time. Every procedure is automated.
For even more muscle, streamline your work with the production facility
to automate batch analysis and reporting. With an easy-to-use dialog,
set up your batch import and export options. Link directly to your
hardware to analyse and report on the fly. Already have your data
in Microsoft® Excel? No problem. Process up to 255 Excel worksheets
at once. Create RTF reports with numerical summaries that include
publication-quality graphs or export the data to a new Excel workbook.
With AutoSignal, it's so simple!
