功能特征

AutoSignal by Systat Software general features can be explained by the following sections:

• Full 32-bit performance
• Toolbars and menu-driven for all functionality
• No programming of procedures, algorithms or graphing
• Advanced on-line help system
• AR spectral methods offer accurate frequency estimation with short data records
• AR spectrum methods: AR spectrum, AR with order exploration, AR with algorithm comparison
• 14 AR algorithms: autocorrelation method, maximum entropy method (Burg), least-squares normal equations, least-squares covariance models and modified covariance models, singular value decomposition methods
• Model order selection and order exploration
• Moving average spectrum
• ARMA spectrum
• Prony Spectrum offers fitting of damped sine and damped exponential that occur in multi-component exponential decays
• Minimum Variance Spectrum
• Eigen Analysis Spectrum provides accurate and robust spectral procedures for estimating harmonic frequencies
• Provides excellent signal-noise separation
• Graphically select signal and noise sub-space; also available in certain parametric procedures
• Non-Linear Optimization offers parametric refinement of spectral estimates: least-squares, maximum likelihood
• Fourier Interpolation
• Fourier Upsampling
• Parametric Interpolation and Prediction
• Graphically inspect the autocorrelation series
• Detrend: Constant, Linear, Quadratic, Cubic, Logarithmic, Exponential, Power, Hyperbolic
  Difference the data with adjustable order and lag, compute various cumulatives and normalize for unit area, unit power, unit standard deviation and zero mean
• Add or subtract a reference signal
• Compare imported reference signals
• Gaussian deconvolution or exponential deconvolution to remove instrument response smearing
  Find long-term “memory effects” in flat frequency response signals with Fractal Dimension option
• Full component numeric summary report include: procedure, algorithm, listing of interpolated spectral peaks, frequency analysis and linear least-squares fit summary
• List data offers extended data summary with results from each of the procedure such as frequency, magnitude, phase and power spectral density
• Goodness of fit statistics: r2, degrees of freedom adjusted r2, fit standard error, F-statistic
  Evaluation option with automated table generation, includes function, derivatives, roots and cumulative volume; X values can be generated or imported from file
• Non-Linear Optimization offers parametric refinement of spectral estimates: least-squares, maximum likelihood
• Fourier Interpolation
• Fourier Upsampling
• Parametric Interpolation and Prediction
• Graphically inspect the autocorrelation series
• Detrend: Constant, Linear, Quadratic, Cubic, Logarithmic, Exponential, Power, Hyperbolic
  Difference the data with adjustable order and lag, compute various cumulatives and normalize for unit area, unit power, unit standard deviation and zero mean
• Add or subtract a reference signal
• Compare imported reference signals
• Gaussian deconvolution or exponential deconvolution to remove instrument response smearing
  Find long-term “memory effects” in flat frequency response signals with Fractal Dimension option
• Full component numeric summary report include: procedure, algorithm, listing of interpolated spectral peaks, frequency analysis and linear least-squares fit summary
• List data offers extended data summary with results from each of the procedure such as frequency, magnitude, phase and power spectral density
• Goodness of fit statistics: r2, degrees of freedom adjusted r2, fit standard error, F-statistic
  Evaluation option with automated table generation, includes function, derivatives, roots and cumulative volume; X values can be generated or imported from file
• Publication-quality printed graphs
• Image formats include bitmaps, metafiles, enhanced metafiles and device-independent bitmaps
  File formats include ASCII, Excel, Lotus, SYSTAT, SPSS
• Export numerical summaries and graphs to MS Word RTF documents
• Up to 65,536 points in data table
• Over 65.4 million points can be filtered into table using decimation import filter
• ASCII (Single, X-Y and Multi-column)
• Excel (Excel 97, Excel 95, v5, v4, v3)
• Lotus 123 (WK4, WK3, WK1)
• Quattro Pro (WB2, WB1)
• SigmaPlot (JPG, SPW, SP5)
• SPSS (SAV v7.5, v8 and v9)
• SYSTAT (SYD v8)
• Waveform (WAV MS PCM 8, 16, 32 bit)
• DIF (Single, X-Y and Multi-column)
• dBase (DBF III+, IV)
• Import Preview graphs prospective data
• Separate append options that automatically averages replicates
• Procedures: Fourier Spectrum, Fourier Spectrum with Data Window, Fourier Spectrum with Data Window Comparison, Fourier Spectrum of Segmented Data, Fourier Multitaper Spectra, Fourier Spectrum of Unevenly Sampled Data (Lomb-Scargle)
• Transforms: FFT Radix2, Prime Facto, Mixed Radix, Chirp-Z, Best Exact-N
• Zero pad
• 30 tapering windows:
• Fixed: none, Welch, Bisquare, Bartlett, cs2 Hanning, Tukey-Hanning, cs2 Hamming, Bartlett Mod, cs3 Nuttall C3, cs3 Blackman, cs3 Blackman-Harris 3, cs3 Nuttall C1, cs3 Blackman Exact, cs3 Blackman-Harris min, cs3 Nuttall min, cs4 Nuttall C5, cs4 Blackman-Harris 4, cs4 Nuttall C3, cs4 Nuttall C1, cs4 Blackman-Harris min, cs4 Nuttall min
• Adjustable: Beta, csx max Roll-off, Kaiser-Bessel, VanderMaas, Chebyshev, Chebyshev Appr, Slepian DPSS, Gaussian, Tapered-Cosine
• Compare up to 4 tapering windows simultaneously
• Measure data window properties: mainlobe, sidelobe, roll-off
• Short-Time Fourier Transform Spectrum uses a series of segmented and overlapped FFTs to find Fourier spectral information for non-stationary data
• Continuous Wavelet Spectrum multi-resolution time-frequency techniques: 3D surface, contour, power integration across time or frequency
• Wavelet spectra can be generated with up to 100 linear or logarithmic frequencies
• Adjustable mother wavelets: Morlet, Paul, Gaussian Derivative
• Zero padding available
• Full critical significance limits available as 3D gradients
• Graphical rendering of cone of influence
• Automated power analysis by integrating interpolated wavelet spectrum surface
• Fourier Smoothing and Denoising: frequency or signal threshold filtration
• Eigen decomposition Smoothing and Denoising: signal strength threshold filtration
• Wavelet Smoothing and Denoising: thresholds in the time-frequency domain for non-stationary data
• Fourier Filtering and Reconstruction: Fourier domain filtering and component isolation procedure
  Eigen decomposition Filtering and Reconstruction: isolates individual oscillatory components in signals
• Wavelet Filtering and Reconstruction: isolates in the time-frequency domain
• Savitzky-Golay Smoothing filter: includes smoothing to 1st through 4th derivative
• Spline Estimations: cubic, cubic constrained, smoothing cubic, B-spline, B-Spline Fix knots, B-spline Optimal knots, NURBS
• Adjustable order Loess with tricube and Gaussian weighting
• Unique Peak-based critical limit levels to ascertain the significance of the spectral components
• Critical limits plotted are: 50%, 90%, 95%, 99%, 99.9% (uses color gradients for wavelets)
• Peak-type critical limits are based on Monte Carlo trials with algorithms exactly as implemented
  Can specify AR-1 red-noise background spectrum option
• Batch process large numbers of data sets in an unattended procedure
• Import up to 64,515 data sets from Excel 95/97 with up to 255 worksheets and multiple columns per worksheet
• Acquire data using simple DLL interface
• Automatically export numerical summaries and/or graphs to MS Word RTF documents
• Automatically export results of analysis to an Excel file

AutoSignal Automation Features

AutoSignal is the Automatic Choice For State-of-the-Art Signal Analysis

Unlike any other tools, AutoSignal has an easy-to-use automated interface that requires no programming to perform signal analysis. AutoSignal provides sophisticated tools for researchers to identify the underlying physical process that produces a given waveform. Every step of your analysis is automated. AutoSignal saves you the time normally required in performing calculations or programming. Filter, process and analyze your complex signals with interactive graphics and detailed numerical summaries.

AutoSignal^TM is a powerful solution that solves real world problems – fast!

AutoSignal gives researchers the power to rapidly find components of complex signals that normally require extensive programming and mathematical routines. AutoSignal provides a vast array of spectral analysis procedures to help you make intelligent conclusions for any application. Built-in spectral analysis procedures include:

• Communication signal identification and analysis
• Signal interference monitoring
• Control systems analysis
• Audio system analysis
• Voice recognition and speech processing
• Signature analysis
• Vibration analysis
• Acoustical analysis
• Radar signal analysis
• Analog circuit testing
• Signal detectors
• Sea spectra study
• Astrophysics

Autosignals^TM provides a wide selection of state-of-the-art methods, including: spectral analysis, filtration and data reconstruction via FFT, parametric, eigen and wavelet methods. Time domain algorithms for smoothing, interpolating and prediction, can be used. Furthermore, AutoSignal can be used in a classroom or lab to help students apply the theories they’ve learned in their classes such as signal theory or physics.

AutoSignal Data Management

• Graphical And Numerical Sectioning ; graphically enable or disable data points
• Spreadsheet – like data editing
• Signal Generate tool
• Data transformation of variables
• Local options to change data set during current procedure include sectioning, detrending, Fourier filtration, Eigendecomposition filtration

AutoSignal Graph Customization & Review

Customization

Titles, axis labels, font size, font selection, grid, color schemes, point formats, axis scaling, log axis scaling, toggle data, reference data and function label display, modify contour and mesh properties.

• Save and import Views for standardized layouts
• 3D Graph View: View angles, size in frame, illumination angular shifts, perspectives, backplanes, add contour plots
• 3D Graph Types: Wire frame, mesh plot, 15 gradient plots, 4 shaded plots
• Gradient and shaded plots use up to 48 colors
• Plot formats: Real, Imaginary, Magnitude, Maginitude2, Phase, Mag/Phase (dual plot), Amplitude, Ampl/Phase (dual plot), dB, dB Norm, PSD SSA, PSD MSA, PSD TISA, Variance, Lomb, Prony ESD, Min Variance spectrum, MUSIC eigenvector and Wavelet spectrum

Graphical Review

• Spectral peaks are identified graphically; select the number of peaks to detect
• Display maxima with spectral peak labels: frequencies, spectral magnitudes, both frequencies and spectral magnitudes, none
• Statistical feedback: set confidence/prediction intervals, show confidence/prediction intervals, error bars, critical limits, display residuals, display residuals as % of Y, residuals as fraction of SE, display residuals distribution, display delta SNP (stabilized normal probability) plot
• 3D Graph animation
• Intellimouse rotation of 3D view angles
• Mesh resolution up to 300 x 300
• View residuals, plot roots and plot AR selection criteria

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