66 lines
2.3 KiB
C
66 lines
2.3 KiB
C
/******************** (C) COPYRIGHT 2020 Geek************************************
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* File Name : pdr_linearFit.h
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* Department : Sensor Algorithm Team
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* Current Version : V2.0(compare QCOM SAP 5.0)
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* Author :
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logzhan
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* Date of Issued : 2020.7.4
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* Comments : PDR 线性拟合相关函数支持
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********************************************************************************/
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#ifdef __cplusplus
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extern "C" {
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#endif
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#ifndef _PDR_LINEAR_FIT_H_
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#define _PDR_LINEAR_FIT_H_
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/**----------------------------------------------------------------------
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* Function : pdr_linearLeastSquaresFitting
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* Description : 线性最小二乘拟合 Y = c0 + c1 x
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目标函数为sum| nDataY - (a*nDataX+b)|^2最小
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* Date : 2020/7/4 logzhan
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*---------------------------------------------------------------------**/
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int linearLeastSquaresFit(const double *nDataX, const double *nDataY,
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const int nLength, double *a, double *b);
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/**************************************************************************
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* Description : 二维坐标系点的线性拟合，ax+by+c=0, 目标函数为点到拟合直线的距离
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平方和最小
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* Input : x， y，二维坐标X和Y
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num, 二维点个数
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* Output : para， 拟合直线参数, para[0]:a, para[0]:b, para[0]:c
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**************************************************************************/
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int leastDistanceLinearFit(double x[], double y[], int num, double para[]);
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/**----------------------------------------------------------------------
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* Function : gsl_fit_linear
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* Description : Fit the data (x_i, y_i) to the linear relationship
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Y = c0 + c1 x
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returning,
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c0, c1 -- coefficients
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cov00, cov01, cov11 -- variance-covariance matrix of
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c0 and c1,
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sumsq -- sum of squares of residuals
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This fit can be used in the case where the errors for
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the data are uknown, but assumed equal for all points.
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The resulting variance-covariance matrix estimates the
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error in the coefficientsfrom the observed variance of
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the points around the best fit line.
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* Date :
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*---------------------------------------------------------------------**/
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static int gslFitLinear(const double* x, const size_t xstride,
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const double* y, const size_t ystride,
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const size_t n,
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double* c0, double* c1,
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double* cov_00, double* cov_01, double* cov_11, double* sumsq);
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#endif // !_LINEAR_FITTING_H_
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#ifdef __cplusplus
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}
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#endif |