With AutoSignal you can: Perform complex signal analysis with a mouse click, Quickly locate your signal components, Precisely estimate with advanced parametric modelling, Graphically review signal analysis results, Isolate components by signal strength using eigendecomposition, Easily smooth and process your signals, Effortlessly analyze non-stationary data with wavelets, Save precious research time with the production facility.
Perform complex signal analysis with a mouse click - no programming required !
AutoSignal? 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 analyze.
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.
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.
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.
Effortlessly analyze non-stationary data with wavelets
Simultaneously find the time and frequency localization 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 optimize localization results. You can also perform power analysis in either the time or the frequency range with specialized in-depth analysis techniques to evaluate the signal.
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 analyze 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 just that simple!
AutoSignal Automation Features
AutoSignal is the Automatic Choice For State-of-the-Art Signal Analysis
Unlike any other tools, AutoSignal has an easy-to-use automated interface that requires no programming to perform signal analysis. AutoSignal provides sophisticated tools for researchers to identify the underlying physical process that produces a given waveform. Every step of your analysis is automated. AutoSignal saves you the time normally required in performing calculations or programming. Filter, process and analyze your complex signals with interactive graphics and detailed numerical summaries.
AutoSignal? is a powerful solution that solves real world problems - fast!
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:
Communication signal identification and analysis
Signal interference monitoring
Control systems analysis
Audio system analysis
Voice recognition and speech processing
Signature analysis
Vibration analysis
Acoustical analysis
Radar signal analysis
Analog circuit testing
Signal detectors
Sea spectra study
Astrophysics
AutoSignal? provides a wide selection of state-of-the-art methods, including: spectral analysis, filtration and data reconstruction via FFT, parametric, eigen and wavelet methods. Time domain algorithms for smoothing, interpolating and prediction, can be used. Furthermore, AutoSignal can be used in a classroom or lab to help students apply the theories they've learned in their classes such as signal theory or physics.
Data Management
Graphical And Numerical Sectioning ; graphically enable or disable data points.
Spreadsheet - like data editing.
Signal Generate tool.
Data transformation of variables.
Local options to change data set during current procedure include sectioning, detrending, Fourier filtration, Eigendecomposition filtration.
Graph Options and Types
Customization: Titles, axis labels, font size, font selection, grid, color schemes, point formats, axis scaling, log axis scaling, toggle data, reference data and function label display, modify contour and mesh properties.
Save and import Views for standardized layouts.
3D Graph View: View angles, size in frame, illumination angular shifts, perspectives, backplanes, add contour plots.
3D Graph Types: Wire frame, mesh plot, 15 gradient plots, 4 shaded plots.
Gradient and shaded plots use up to 48 colors.
Plot formats: Real, Imaginary, Magnitude, Maginitude2, Phase, Mag/Phase (dual plot), Amplitude, Ampl/Phase (dual plot), dB, dB Norm, PSD SSA, PSD MSA, PSD TISA, Variance, Lomb, Prony ESD, Min Variance spectrum, MUSIC eigenvector, Wavelet spectrum.
Graphical Review
Spectral peaks are identified graphically; select the number of peaks to detect.
Display maxima with spectral peak labels: frequencies, spectral magnitudes, both frequencies and spectral magnitudes, none.
Statistical feedback: set confidence/prediction intervals, show confidence/prediction intervals, error bars, critical limits, display residuals, display residuals as % of Y, residuals as fraction of SE, display residuals distribution, display delta SNP (stabilized normal probability) plot.
3D Graph animation.
Intellimouse rotation of 3D view angles.
Mesh resolution up to 300 x 300.
View residuals, plot roots and plot AR selection criteria.
System Requirements
Windows 95, 98, NT and XP
Pentium or clone and above
32 MB RAM minimum (64 MB RAM for wavelet and production facility recommended)
25 MB hard disk space
SVGA and above
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