Version:1.6

Transform time A timely breakthrough in cutting-edge signal analysis A timely breakthrough in cutting-edge signal analysis in no time Perform complex signal analysis with a mouse Effortlessly analyze non-stationary data with click - no programming required! wavelets Autosignal is the first and only program to deliver complete automation Simultaneously find the time and frequency localization components of a for signal analysis. You'll save precious time by eliminating the non-stationary periodic signal with Continuous Wavelet Spectrum programming time that is normally required for performing sophisticated analysis techniques. Autosignal gives you a choice of three adjustable signal analysis. Autosignal takes full advantage of its graphical user mother wavelets: Morlet, Paul and Gaussian Derivative - in both real and interface to simplify every aspect of operation - from data import to complex forms to optimize localization results. You can also perform output of results. Choose your analysis techniques from the menu or power analysis in either time or frequency range with specialized in-depth toolbar and select the algorithm and options from the intuitive interface. analysis techniques to better evaluate the signal. You get immediate visual feedback with 2D or 3D graphs of your signal analysis, plus numeric summaries for reports. Need to solve time and frequency of non- Quickly locate your signal components stationary signals? Autosignal gives researchers the power to rapidly find components of No problem. Perform complex signals that normally require extensive programming and power analysis of mathematical routines. You get a vast array of spectral analysis your signals with the procedures to help you make intelligent conclusions for any application. latest wavelet Autosignal's built-in spectral analysis procedures include: technology. Select FFT, AutoRegressive, Moving Average, ARMA, complex exponential and adjust your modeling, minimum variance methods, Eigen analysis frequency mother wavelet for estimation and wavelets. total control.

Identify frequency and power with Fourier Isolate components by signal strength using Spectrum analysis eigen-decomposition Autosignal lets you see a complete picture of the frequency space using In addition to FFT and wavelet spectral analysis techniques, you can the library of six Fourier Spectrum methods with total flexibility. Solve select from linear and non-linear methods that are right for your the leakage problem found with standard FFT by using one of the 30 application. The eigen-decomposition procedures enable you to visually included data tapering windows. You can even make comparisons of select eigenmodes for signal-noise separation or component isolation. performance of various data tapering windows in a single spectral graph. With Autosignal, you can also recover signal components based on Autosignal gives you access to the latest methodologies with techniques power - the component may be sinusoidal, a square wave, a sawtooth or such as FFT Multi-taper Spectrum analysis to help you better

an harmonic pattern. You can confirm the presence of white noise or .sigmaplot.com characterize the power in each signal. Easily handle your unevenly isolate red noise background by reconstructing only the noise sampled data with Lomb-Scargle Fourier domain analysis with eigenmodes. w techniques that were originally developed by astrophysicists. AutoSignal TM ww Tired of programming your signal analysis procedures? Tired of programming your signal analysis procedures? Transform time

Precisely estimate with advanced parametric modeling Graphically review signal analysis results in no time With Autosignal, you get state-of-the-art As a powerful visualization tool. Autosignal automatically plots your parametric non-linear modeling for peaks, contours or 3D surfaces - so you don't have to perform additional sinusoid and damped sinusoid models. steps to see your results. You can change any algorithm or analysis Non-linear optimization is also available as option through the user interface and see instant results. Isolate an independent procedure, or as an adjunct components of a signal graphically using eigen-decomposition to display to each of the spectral algorithms. It and select eigen components in order to includes robust maximum-likelihood find very low frequency oscillatory optimizations as well as automatic components or identify paired parameter constraints. Auto Regressive linear models offer robust eigenmodes producing a specific models that can quickly handle smaller data sets that FTT cannot oscillation. Then, analyze your results accurately analyze. with residual and root plots, and show statistical significance and probability Easily smooth and process your signals limits on your output graphs. Clearly Only Autosignal offers so many different user-friendly methods to present your results with control over titles, fonts, colors, points, scaling, manipulate signal data. You can inspect your data stream in the Fourier axis scale, labels, grid and plot types. domain and zero higher frequency points - and see your results Save precious research time with the production facility immediately in the time domain. What once took hours now takes seconds - with only a few mouse This smoothing technique allows for clicks. It's so easy - even novice users can learn how to use superb noise reduction while Autosignal in no time. Every procedure is automated. For even maintaining the integrity of the more muscle, streamline your work with the production facility to original data stream. Autosignal also automate batch analysis and reporting. With an easy- to- use dialog, set includes eigen-decomposition, up your batch import and export options. Link directly to your hardware wavelet, Savitzky-Golay, Loess and detrending for smoothing and to analyze and report on the fly. Already have your data in Microsoft denoising. Isolate components and detect signals with powerful filtering Excel? No problem. Process up to 255 Excel worksheets at once. Create and reconstruction techniques with Fourier, eigen-decomposition and RTF reports with numerical summaries that include publication-quality wavelet methods. For instance, isolate components that appear and graphs or export the data to a new Excel workbook. With Autosignal, disappear with wavelet filtering and reconstruction. Recover the true it's so simple

signal that would have been measured using an ideal sensing system .sigmaplot.com with Gaussian and exponential deconvolution w AutoSignal TM ww www.sigmaplot.com Autosignal features:

Interface • Gradient and shaded plots use up to 48 colors Transform time • Full 32-bit performance Eigen Analysis Spectrum • Plot formats: Real, Imaginary, Magnitude, Phase, Mag/Phase (dual plot). • Toolbars and menu-driven for all functionality • Eigen Analysis Spectrum provides accurate and robust spectral procedures Amplitude, Ampl/Phase (dual plot), dB, dB Norm, PSD SSA, PSD MSA, • No programing of procedures, algorithms or graphing for estimating harmonic frequencies PSD TISA, Variance, Lomb, dB 1-sided and dB 2-sided, spectrum directly, • Advanced on-line help system • Provides excellent signal-noise separation spectrum as dB, spectrum as dB normalized, variance-normalized power • Graphically select signal and noise sub-space; also available in certain spectrum, MagnitudeSq Data Input parametric procedures Graphical Review • Up to 65,536 points in data table in no time • Spectral peaks are identified graphically; select the number of peaks to • Over 65.4 million points can be filtered into table using decimation import Time-Frequency Spectral Analysis detect filter • Short-Time Fourier Transform Spectrum uses a series of segmented and • Display maxima with spectral peak labels: frequencies, spectral magnitudes, • ASCII (Single, X-Y, and Multi-column) overlapped FFTs to find Fourier spectral information for non- stationary data both frequencies and spectral magnitudes, none • Excel (Excel 97, Excel 95, v5,v4,v3) • Continuous Wavelet Spectrum multi- resolution time-frequency techniques: • Statistical feedback: set confidence/prediction intervals, show • Lotus 123 (WK4,WK3,WK1) 3D surface, contour, power integration across time or frequency confidence/prediction intervals, error bars, critical limits, display residuals, • QuattroPro(WB2,WB1) • Wavelet spectra can be generated with up to 100 linear or logarithmic display residuals as % of Y, residuals as fraction of SE, display residuals • SigmaPlot(JPG,SPW,SP5) frequencies distribution, display delta SNP (stabilized normal probability) plot • SPSS (SAVv7.5 and v8) • Adjustable mother wavelets: Morlet, Paul, Gaussian Derivative • 3D Graph animation • SYSTAT(SYD) • Zero padding available • Intellimouse rotation of 3D view angles • Waveform (WAV MS PCM 8,16,32 bit) • Full critical significance limits available as 3D gradients • Mesh resolution up to 300 x 300 • DIF (Single, X-Y, and Multi-column) • Graphical rendering of cone of influence • View residuals, plot roots and plot selection criteria • dBase (DBF III+,IV) • Automated power analysis by integrating interpolated wavelet spectrum • Import Preview graphs prospective data surface Numeric Review • Separate append options automatically average replicates • Full component numeric summary report includes: procedure, algorithm, Data Processing listing of interpolated spectral peaks, frequency analysis and linear least- Data Management • Non-Linear Optimization offers parametric refinement of spectral estimates: squares fit summary • Graphical and numerical sectioning; graphically enable or disable data least- squares, maximum likelihood • List data offers extended data summary for each of the results points points • Fourier Interpolation generated in a procedures such as frequency, magnitude, phase and power • Spreadsheet-like data editing • Fourier Upsampling spectral density • Signal Generate tool • Parametric Interpolation and Prediction • Goodness of fit statistics: r2 , degrees of freedom adjusted r2, fit standard • Data transformation of variables • Graphically inspect the autocorrelation series error, F-statistic • Local options to change data set during current procedure include • Detrend: Constant, Linear, Quadratic, Cubic, Logarithmic, Exponential, sectioning, detrending, Fourier filtration, eigende composition filtration Power, Hyperbolic Significance Levels • Difference the data with adjustable order and lag, compute various • Unique Peak-based critical limit levels to ascertain the significance of the Fourier Spectral Analysis cumulatives and normalize for unit area, unit power, unit standard deviation spectral components to disprove null hypothesis that the signal is noise • Procedures: Fourier Spectrum, Fourier Spectrum with Data Window, and zero mean • Critical limits levels plotted are: 50%, 90%, 99%, 99.9% (uses color Fourier Spectrum with Data Window Comparison,* Fourier Spectrum of • Add or subtract a reference signal gradients for wavelets) Segmented Data, Fourier Multi taper Spectra, Fourier Spectrum of Unevenly • Compare imported reference signals • Peak-type critical limits generated using Monte Carlo trials Sampled Data (Lomb-Scargle) • Gaussian deconvolution or exponential deconvolution to remove instrument * Selection of background spectrum option available • Transforms: FFTRadix2, Prime Facto, Mixed Radix, Chirp-Z, Best Exact-N response smearing * • Zero pad Output and Export • Find long-term "memory effects" in flat frequency response signals with • 30 tapering windows • Publication-quality printed graphs Fractal Dimension option Fixed: none, Welch, Bisquare, Bartlett, cs2 Hanning, Tukey-Hanning, cs2 • Image formats include bitmaps, metafiles, enhanced metafiles and device- Hamming, Bartlett Mod, cs3 Nuttall C3, cs3 Blackman, cs3 Blackman-Harris 3, Filtering and Reconstruction independent bitmaps cs3 Nuttall Cl, cs3 Blackman Exact, cs3 Blackman-Harris min, cs3 Nuttall • Fourier Smoothing and Denoising: frequency or signal threshold filtration • File formats include ASCII, Excel, Excel 97, Lotus, SYSTAT, SPSS min, cs4 Nuttall C5, cs4 Blackman-Harris 4, cs4 Nuttall C3, cs4 Nuttall Cl, • Eigen-decomposition Smoothing and Denoising: signal strength threshold • Export numerical summaries and graphs to Microsoft Word RTF documents cs4 Blackman-Harris min, cs4 Nuttall min filtration Production Facility * Adjustable: Beta, csx max Roll-off, Kaiser Bessel, VanderMaas, Chebyshev, • Wavelet Smoothing and Denoising: thresholds in the time-frequency domain for • Batch process large numbers of data sets Chebyshev Appr, Slepian DPSS, Gaussian, Tapered-Cosine non-stationary data. • Import: DLL interface or import multiple data sets from Excel 95/97 with • Compare up to 4 tapering windows simultaneously • Fourier Filtering and Reconstruction: Fourier domain filtering and up to 255 worksheets and multiple rows per worksheet • Measure data window properties: mainlobe, sidelobe, roll-off component isolation procedure • Export numerical summaries and or graphs to Microsoft Word RTF • Eigen-decomposition Filtering and Reconstruction: isolates individual documents Non-Parametric Spectral Analysis oscillatory components in signals • Export resulting analysis basic data or the full extended data to Excel 95/97 • AR spectral methods offer accurate frequency estimation with short data • Wavelet Filtering and Reconstruction: isolates in the tune-frequency domain to one or up to 255 worksheets records • Savitzky-Golay Smoothing filter • AR Spectrum procedures: AR Spectrum, AR with order explanation, AR • Spline Estimations: cubic, cubic constrained, smoothing cubic, B-spline, B- with algorithm comparison * Spline Fix knots, &pline Optional knots, NURBS The Essential Desktop Tools for Scientists and Engineers • 14AR algorithms: autocorrelation method, maximum entropy method • Adjustable Loess with tricube and Gaussian weighting ® (Burg), least- squares normal equations, least-squares covariance models and • SYSTAT , More graphs, more statistics, less effort Graph Options and Types modified covariance models, singular value decomposition methods • Customization: Titles, axis labels, font size, font selection, grid, color • Model order selection and order exploration • AutoSignal™, Transform time in no time schemes, point formats, axis scaling, log axis scaling, toggle data, reference • Moving average spectrum ® data and function label display, modify contour and mesh properties • TableCurve 2D , Automated curve fitting and equation discovery • ARMAspectrum • Save and import Views for standardized layouts ® • Prony Spectrum offers fitting of damped sine and damped exponential that • 3D Graph View: View Angles, Size in Frame, illumination angular shifts, • TableCurve 3D , Automated surface fitting and equation discovery occur in multi- component exponential decays TM perspectives, back planes, add contour plots ® • PeakFit , Automated peak separation and analysis AutoSignal • Minimum Variance Spectrum • 3D Graph Types; Wire frame, mesh plot, 15 gradientplots, 4 shaded plots System Requirements Microsoft Windows*95,98 and NT Pentiums or clone and above; 32MB RAM minimum (64MB RAM for wavelet and production facility recommended); 25MB hard disk space; SVGA or better