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SPECTRAL ANALYSIS PROCEDURES

• 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

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

GENERAL FEATURES

Interface

• Full 32-bit performance
• Toolbars and menu-driven for all functionality
• No programming of procedures, algorithms or graphing
• Advanced on-line help system

Non-Parametric Spectral Analysis

• 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

• 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

Data Processing

• 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

Numeric Review

• 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

Output and Export

• 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

Data Input

• 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

Fourier Spectral Analysis

• 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

 

Time-Frequency Spectral Analysis

• 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

Filtering and Reconstruction

• 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

Significance Levels

• 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

Production Facility

• 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 95/97 file

GRAPH OPTIONS AND TYPES

• 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, 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

Detaljerad information om AutoSignal 1.7

AutoSignal 1.7 Broschyr

AutoSignal 1.7 Produktsida

Systemkrav
Windows 98, NT4, 2000 or XP
Pentium eller kompatibal processor
32 MB RAM (128 MB rekommenderas)
25 MB Ledigt hårddiskutrymme
CD-ROM
SVGA monitor, 800x600 resolution 256 colors (True Color rekommenderas)

AutoSignal 1.7 licensval

• Singel
• Flytande nätverkslicenser (SIMUS)
• Volymlicens
• Site-licens

Fast licens (inklusive underhåll) eller årlig-licens (lease) finns för alla ovan nämnda licensval.

Kontakta oss idag för offert!

 

AutoSignal 1.7 Demo

Ladda ner en fullt fungerande demoversion av AutoSignal. Demoversionen fungerar i 30 dagar. När filen är nedladdad startar du installationsprocessen genom att dubbelklicka på den nedladdade filen.

Filstorlek: 13.5 MB

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Support och Resurser för AutoSignal

Vi tillhandahåller teknisk support för alla våra AutoSignal kunder.
Använd Kontakta oss-länken i menyn till vänster eller skicka e-post till support@alfasoft.se.
Du kan också ringa till oss på +46 (0) 31 - 60 43 80 och tala med vår support.

Vänligen beskriv ditt problem så detaljerat som möjligt när du kontaktar vår support. Kom ihåg att alltid informera om vilken produktversion du har och vilket operativsystem du använder (både plattform och version).

Vi kan också rekommendera följande support-, och resurssidor online.

• AutoSignal Tutorials
• AutoSignal Support