

功能特征
AutoSignal by Systat Software general features can be explained
by the following sections:
 Full 32bit performance
 Toolbars and menudriven for all functionality
 No programming of procedures, algorithms or graphing
 Advanced online 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), leastsquares normal equations, leastsquares
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 multicomponent exponential decays
 Minimum Variance Spectrum
 Eigen Analysis Spectrum provides accurate and robust spectral
procedures for estimating harmonic frequencies
 Provides excellent signalnoise separation
 Graphically select signal and noise subspace; also available
in certain parametric procedures
 NonLinear Optimization offers parametric refinement of
spectral estimates: leastsquares, 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 longterm “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 leastsquares 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, Fstatistic
Evaluation option with automated table generation, includes
function, derivatives, roots and cumulative volume; X values can
be generated or imported from file
 NonLinear Optimization offers parametric refinement of
spectral estimates: leastsquares, 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 longterm “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 leastsquares 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, Fstatistic
Evaluation option with automated table generation, includes
function, derivatives, roots and cumulative volume; X values can
be generated or imported from file
 Publicationquality printed graphs
 Image formats include bitmaps, metafiles, enhanced metafiles
and deviceindependent 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, XY and Multicolumn)
 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, XY and Multicolumn)
 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 (LombScargle)
 Transforms: FFT Radix2, Prime Facto, Mixed Radix, ChirpZ,
Best ExactN
 Zero pad
 30 tapering windows:
 Fixed: none, Welch, Bisquare, Bartlett, cs2 Hanning,
TukeyHanning, cs2 Hamming, Bartlett Mod, cs3 Nuttall C3, cs3
Blackman, cs3 BlackmanHarris 3, cs3 Nuttall C1, cs3 Blackman
Exact, cs3 BlackmanHarris min, cs3 Nuttall min, cs4 Nuttall C5,
cs4 BlackmanHarris 4, cs4 Nuttall C3, cs4 Nuttall C1, cs4
BlackmanHarris min, cs4 Nuttall min
 Adjustable: Beta, csx max Rolloff, KaiserBessel, VanderMaas,
Chebyshev, Chebyshev Appr, Slepian DPSS, Gaussian,
TaperedCosine
 Compare up to 4 tapering windows simultaneously
 Measure data window properties: mainlobe, sidelobe, rolloff
 ShortTime Fourier Transform Spectrum uses a series of
segmented and overlapped FFTs to find Fourier spectral
information for nonstationary data
 Continuous Wavelet Spectrum multiresolution timefrequency
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
timefrequency domain for nonstationary 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
timefrequency domain
 SavitzkyGolay Smoothing filter: includes smoothing to 1st
through 4th derivative
 Spline Estimations: cubic, cubic constrained, smoothing cubic,
Bspline, BSpline Fix knots, Bspline Optimal knots, NURBS
 Adjustable order Loess with tricube and Gaussian weighting
 Unique Peakbased 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)
 Peaktype critical limits are based on Monte Carlo trials with
algorithms exactly as implemented
Can specify AR1 rednoise 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 StateoftheArt
Signal Analysis
Unlike any other tools, AutoSignal has an easytouse 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. Builtin 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
stateoftheart 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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4006211085 02150391085
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