THE BENEFITS OF USING AUTOSIGNAL |
|
| 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.
|
| |