AutoSignal Feature Benefits
AutoSignal by Systat Software feature benefits can be described in the following sections:
| 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
|
| 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
|
| 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
|
| 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
|
| 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
|
| 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
|
| 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
|
| 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
|
| 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.
|
| 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
|
| 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
|
| 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
|
| 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
|
| 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
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- 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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