Fitting PtByPt下載 PDF選擇的小節所選的小節與子小節完整手冊已更新2025-07-30閱讀時間為 2 分鐘LabVIEWAPI 參考LabVIEW G Use the Fitting PtByPt VIs to fit data to a model and perform interpolation and extrapolation. The VIs on this palette can return point by point error codes. Linear Fit PtByPt VIFinds the line values and the coefficients slope and intercept, using the least-squares solution, that describe the line that best represents the set of input data points specified by sample length.Linear Fit Coefficients PtByPt VIFinds the coefficients slope and intercept, using the least-squares solution, which describe the line that best represents the set of input data points.Exponential Fit PtByPt VIFinds the exponential curve values and the exponential coefficients amplitude and damping, using the least-squares solution, which describe the exponential curve that best represents the input set of data points defined by sample length.Exponential Fit Coefficients PtByPt VIFinds the exponential coefficients amplitude and damping, using the least-squares solution, which describe the exponential curve that best represents the set of input data points specified by sample length.General Polynomial Fit PtByPt VIFinds the polynomial curve values and the set of Polynomial Fit Coefficients which describe the polynomial curve that best represents the set of input data points specified by sample length.General LS Linear Fit PtByPt VIFinds the Best Fit k-dimensional plane and the set of linear coefficients for the set of input data points specified by sample length.Parent topic: Point By Point
Use the Fitting PtByPt VIs to fit data to a model and perform interpolation and extrapolation. The VIs on this palette can return point by point error codes. Linear Fit PtByPt VIFinds the line values and the coefficients slope and intercept, using the least-squares solution, that describe the line that best represents the set of input data points specified by sample length.Linear Fit Coefficients PtByPt VIFinds the coefficients slope and intercept, using the least-squares solution, which describe the line that best represents the set of input data points.Exponential Fit PtByPt VIFinds the exponential curve values and the exponential coefficients amplitude and damping, using the least-squares solution, which describe the exponential curve that best represents the input set of data points defined by sample length.Exponential Fit Coefficients PtByPt VIFinds the exponential coefficients amplitude and damping, using the least-squares solution, which describe the exponential curve that best represents the set of input data points specified by sample length.General Polynomial Fit PtByPt VIFinds the polynomial curve values and the set of Polynomial Fit Coefficients which describe the polynomial curve that best represents the set of input data points specified by sample length.General LS Linear Fit PtByPt VIFinds the Best Fit k-dimensional plane and the set of linear coefficients for the set of input data points specified by sample length.Parent topic: Point By Point
Use the Fitting PtByPt VIs to fit data to a model and perform interpolation and extrapolation. The VIs on this palette can return point by point error codes. Linear Fit PtByPt VIFinds the line values and the coefficients slope and intercept, using the least-squares solution, that describe the line that best represents the set of input data points specified by sample length.Linear Fit Coefficients PtByPt VIFinds the coefficients slope and intercept, using the least-squares solution, which describe the line that best represents the set of input data points.Exponential Fit PtByPt VIFinds the exponential curve values and the exponential coefficients amplitude and damping, using the least-squares solution, which describe the exponential curve that best represents the input set of data points defined by sample length.Exponential Fit Coefficients PtByPt VIFinds the exponential coefficients amplitude and damping, using the least-squares solution, which describe the exponential curve that best represents the set of input data points specified by sample length.General Polynomial Fit PtByPt VIFinds the polynomial curve values and the set of Polynomial Fit Coefficients which describe the polynomial curve that best represents the set of input data points specified by sample length.General LS Linear Fit PtByPt VIFinds the Best Fit k-dimensional plane and the set of linear coefficients for the set of input data points specified by sample length.Parent topic: Point By Point
