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