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Features Description Benefits
Easy-to-use windows interface
  • Easy to use dialog boxes.
  • Toolbar and menu driven dialog boxes for spectral techniques, signal processing and graphical and numeric outputs.
  • Full 32-bit performance


  • No programming of procedures, algorithms or graphing!
  • Perform your work 10X faster and enable you to perform 10X more analysis routines to get a complete picture.
  • Enables you to focus on your analysis not on learning the program.


Spectral Analysis - FFT
  • FFT for Fast Fourier Transform.
  • Identify frequency and power of a signal.
  • More than just standard Fourier Transform - 5 additional FFT methods including FFT with taper windows, FFT tapering window comparison, FFT of segmented data, Multitaper FFT and Unevenly sample FFT.
  • 30 tapering windows available to solve FFT leakage concerns.
  • Zero padding available.
  • FFT is a popular technique.
  • Accurate technology when you have large data sets
  • Can get both frequency and power accurately.
Spectral Analysis - Wavelets
  • Handles non-stationary data meaning can find frequency of signal based on the when it occurred rather than computing the frequency for the entire period of the signal.
  • Can see wavelets in 3D or contours.
  • Wavelet spectra can be generated with up to 100 linear or logarithmic frequencies.
  • Adjustable mother wavelets available: Morlet (most common), Paul and Gaussian Derivative.
  • Simultaneously find time and frequency localization components of non-stationary periodic signals.
Spectral Analysis - AR
  • AR stands for AutoRegressive.
  • Includes AR, MA (Moving Average) and ARMA.
  • 14 algorithms available
  • Great technique for small data sets.
Spectral Analysis - Eigen Analysis
  • Eigen Analysis partitions by signal strength using adaptive non-parametric basis functions.
  • Signal components can be separated by differences in power.
  • Eigen Analysis also known as Eigendecomposition, singular spectrum analysis, principal component analysis and eigenfiltering.
  • Also available in certain parametric procedures.
  • Excellent signal-noise separation.
  • Excellent component isolation.
  • Can easily select signal and noise sub-space graphically.
Spectral Analysis - Prony
  • Fits damped sine and damped exponential that occur in multivariate exponential decays.
  • Fits damped signals that are normally difficult to fit
Non-linear parametric modeling
  • Optimize your spectral analysis fits either as an independent procedure or as an adjunct to your spectral procedure.
  • If used as an adjunct, you perform a spectral technique and then you constrain the frequency to optimize the spectral fit.
  • Get the most accurate fits possible
Production Facility
  • Automate your analysis and reporting with the production facility that uses your preset options.
  • Import: Import multiple data sets from Excel 95/97 with up to 255 worksheets and multiple rows per worksheet or DLL interface to hardware.
  • Export numerical summaries and/or graphs to MS Word RTF documents
  • Export resulting analysis to Excel 95/97 to one or up to 255 worksheets
  • Perform unattended analysis and generate professional reports.
  • Save valuable research time by performing repetitive analysis routines without manual intervention.
Smoothing and denoising Perform smoothing and denoising with advanced Fourier, eigen and wavelet methods or use time-series smoothing such as Savitzky-Golay, spline and Loess
  • Eliminate high frequency noise from the signal.
Filtering and Reconstruction
  • Isolate components and detect signals and reconstruct with Fourier, eigen and wavelet techniques
  • Find and use only the signal components that you are interested in.
Graphical Review
  • Spectral peaks are identified graphically.
  • Flexible display of spectra peaks, frequencies and magnitudes.
  • 3D animation.
  • View residuals, plot roots and plot selection criteria
  • Instantly see your results.
  • Can create publication quality graphs.
Critical Limits
  • Ascertain the significance of the spectral components to disprove the null hypothesis.
  • Critical limits: 50%, 90%, 95%, 99%, 99.9%
  • Peak-type critical limits generated using Monte Carlo.
  • Truly determine the significance of a spectral peak.
Data Input
  • Import data from a variety of file formats which include ASCII, Excel, WAV, Lotus, Quattro Pro, SigmaPlot, SYSTAT, dBase, DIF and SPSS.
  • Can filter down as many as 65.4 million data points from a file with decimation import option. Import preview option enables you to immediately visualize the fit to your data.
  • Provides flexibility to work with a variety of file formats.
  • You can handle large data sets.
  • Enables you to immediately see what your data looks like.
Extensive output options
  • AutoSignal offers you with a wide variety of output options.
  • Automatically generate reports with numeric summaries and graphics directly to MS Word RTF with just a click of a button.
  • Create publication-quality graphs or export the data to your favorite spreadsheet including Lotus, Excel, Quattro Pro, SigmaPlot spreadsheets.
  • You can also export image files as bitmaps, metafiles, enhanced metafiles and device-independent maps.
  • You have the flexibility of analyzing your data further the way they want to or you can incorporate publication quality graphs into reports.
  • Create reports with built-in automation.


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