TableCurve 2D功能特征-曲线拟合软件|上海卡贝信息技术有限公司

功能特征

The sections below explain the many useful features within TableCurve 2D:

界面

Full 32-bit performance
Multitasking with 17 background thread curve-fit options
Drag and drop files for immediate fitting
Fully customizable 2D graphs
Smooth bitmap rendering of graphs
XY meter in graphs displays cursor coordinates
Global Reset options to undo all changes made to the data table

数据输入

Up to 65,536 points in data table
16.4 million points can be filtered into table using averaging digital import filter
File types: ASCII, Excel (all versions through Excel 2000)*, Lotus, Quattro Pro, SigmaPlot, SPSS, dBase, DIF, Binary
Graphical XY column selection
Weights or standard deviations optionally assigned
Compare up to five data sets
Automatically process replicate data sets

数据管理

Real-time smoothing with FFT, Loess, Savitzky-Golay, Gaussian Convolution, Eigendecomposition and Kaiser-Bessel time-domain smoothing* procedures
Real-time Fourier domain editing with exact-N FFT; data tapering
Eigendecomposition filtering to isolate components based on signal strength
Graphical and numerical sectioning; graphically enable or disable data points
First and second order analytic derivatives for all built-in equations*
Multiple curve-fit references on a single graph (up to 4 references)*
Apply calculations to X, Y and Weight values
Spreadsheet-like data editing with optional graphing of data as they are entered

输出和导出

Publication quality printed graphs with full print preview
Image formats include bitmaps, metafiles, enhanced metafiles and device independent bitmaps
File formats include ASCII, Excel, Lotus, SigmaPlot and Harvard Graphics Professional reports with MS Word or RTF export that includes graphs and numeric results; available for all major procedures
Graphs can be half or full page, landscape or portrait mode all in a single document

Equation Discovery and Curve Fitting

3,656 built-in equations
3,205 mixed basis function linear
Even order and half order polynomials
18 Chebyshev polynomials
17 High-precision polynomials (fitted to 38 digits precision)
10 Fourier-series polynomials
57 standard, ln x, sqrt even, y-transformed, even order, and half order rationals
17 Chebyshev rationals
17 High-precision rationals (fitted to 38 digits precision)
5 Fourier-series rationals
36 Constrained (no singularity) non-linearly fit SVD rationals
74 nonlinear peak equations
29 nonlinear transition equations
58 nonlinear kinetic equations
13 nonlinear waveform and miscellaneous equations
Rapid searching, sorting and filtering of equations
User customizable equation sets
Full control of fit process, including goodness of fit criteria, matrix methods, minimization, and other options
AI Expert for automatic selection of peak, transition or kinetic models to be fitted
Three robust fitting methods available for all non-linear equations, user functions and external C/Fortran functions

Prediction Methods

State-of-the-art Autoregressive procedures for forward/backward predictions/extrapolations.
9 different procedures – 3 to predict ahead, 3 to predict earlier data, and 3 that predict in both directions.
In-situ noise removal using advanced SVD and Eigendecomposition methods
View complex roots, order selection criteria, singular values, residuals and numeric summaries
AR filter code generation is supported in all languages, plus export filter to disk

User-Defined Functions (UDFs)

UDF editor with push button help for inserting functions
UDFs automatically compiled for speed
Up to 15 UDFs can be fit at one time, each with up to 10 adjustable parameters
Graphical UDF adjustment procedure for refining starting estimates
UDFs can be saved as libraries
External 32-bit DLL User Defined Functions
Up to 100 external Fortran or C fitting functions with optional constraints
Fortran requires MS Fortran Powerstation v4+ C requires MS Visual C++ v4+ or Borland C++ v4.5+
Select all, none or specific equations

非参数拟合

Spline estimation, including least-squares B-splines and NURBS (non-uniform rational B-splines)
Smoothing spline estimation, including first through sixth derivatives
Local regression estimation
Estimation and Interpolation
Eight spline procedures, 3 interpolation and 5 smoothing including NURBS and least-squares B-splines with fixed, optimized, or user-specified knots
Local regression spline estimation; 1st and 2nd derivatives
Savitzky-Golay spline estimation; accurate derivatives orders 1-8; filter coefficients
Fourier Interpolation; derivatives orders 1-4;
Directly specify and plot output for all Estimation procedures

曲线拟合分析和输出

Evaluation option with automated table generation, includes function, derivatives, roots and cumulative area
Full numeric and statistical summary, including coefficients, standard error, confidence limits, ANOVA, goodness of fit, measured function and derivative minima and maxima, and poles reported for rational functions
Data summary with predicted values, residuals and confidence/prediction limits
Precision summary and term significance analysis

图形

Curve-fit graph with zoom-out, customizable layout, labels, grids, scaling, points, font, titles and resolution
Confidence/prediction intervals (90, 95, 99, 99.9 and 99.99 percent)
Error bars for replicate-based data
Residuals graphs, separate or on Y2 axis of curve-fit graph, including bar graphs, histogram, and stabilized normal probability plot for assuring normality of residuals
Copy numerical data for any graph to clipboard as a spreadsheet block
Latent point processing enables disabling of outliers during equation inspection

TableCurve 2D Automation Features

TableCurve 2D Version 5 can fit multiple data sets automatically in a batch-processing mode. The data source is either an Excel spreadsheet (or multiple spreadsheets) or an instrument via a custom DLL.

In addition to curve fitting, the Automation feature is available for other TableCurve features such as noise filtering, smoothing, local regression, splines and autoregressive modeling and prediction.

Code Generation

Fortran 90, Fortran 77, C (64 and 80 bit), Visual Basic, QBasic and Pascal
Function code or function code with full test routines
Available for all built-in equations

Integrated Automation

Batch processing for automatically processing large number of data sets unattended; available for all major procedures
Multiple data sets in an Excel spreadsheet processed with the ease of single data set
Stream reports directly to MS Word 95/97/2000 or RTF format
DLL support for writing external data acquisition interface
Professional DLL automation interface for instrument manufacturers

Curve Fitting

Save Weeks of Tedious Data Analysis Chores

Many researchers spend hours and even weeks to discover the ideal model that describes their data.This is because they use tools that require trial and error curve fitting. TableCurve 2D is the first and only program that completely eliminates endless trial and error by automating the curve fitting process.

TableCurve 2D’s powerful curve fitter automatically fits 3,665 built-in equations from all disciplines to find the one that provides the ideal fit – instantly! What could once take days of tedious work now takes minutes, with much more powerful results.

Solve Complex Science and Engineering Problems Faster

Optimized product and process performance
Quickly calibrate sensors
Understand complex chemical kinetics
Reduce empirical data to a simple equation
Stabilize systems with dynamic feedback
Perform any general curve fitting application

Powerful and Yet Easy To Use

Once the fit is complete, TableCurve 2D presents you with a statistically ranked list of candidate equations. You are given all the information you need to choose the equation that best meets your requirements for the ideal fit. Once you have selected your best fit equation, output high – quality function code, or generate professional reports with publication – quality graphs. No other fitting program offers this much versatility and power, and with unbelievable ease. Users consistently comment that “out of the box, without reading the instructions” TableCurve 2D is highly intuitive, easy to use, and remarkably simple to learn.

系统需求

Windows 10, 8.x,7, Windows Vista, 95, 98, NT and XP (32 bit)
A Pentium^TM or compatible processor
32 MB random-access memory (RAM)
Note: 64 MB RAM is recommended for processing large data sets and for the automation procedures
A hard disk with atleast 15 MB of available disk space
A graphics adapter with 800 X 600 resolution (SVGA) or higher 256 colors