AutoSignal Feature Benefits

AutoSignal by Systat Software feature benefits can be described in the following sections:

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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

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Features	Description	Benefits
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

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Features	Description	Benefits
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

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Features	Description	Benefits
Spectral Analysis – AR	AR stands for AutoRegressive Includes AR, MA (Moving Average) and ARMA 14 algorithms available	Great technique for small data sets

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Features	Description	Benefits
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 technique Excellent component isolation Can easily select signal and noise sub-space graphically

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Features	Description	Benefits
Spectral Analysis – Prony	Fits damped sine and damped exponential that occur in multivariate exponential decays	Fits damped signals that are normally difficult to fit

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Features	Description	Benefits
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

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Features	Description	Benefits
Production Facility	Automate your analysis and reporting with the production facility that uses your preset options 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 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

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Features	Description	Benefits
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.

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Features	Description	Benefits
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

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Features	Description	Benefits
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

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Features	Description	Benefits
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

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Features	Description	Benefits
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

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Features	Description	Benefits
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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