66 lines
2.3 KiB
C
66 lines
2.3 KiB
C
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/******************** (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 <EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>غ<EFBFBD><EFBFBD><EFBFBD>֧<EFBFBD><EFBFBD>
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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 : <EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>С<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> Y = c0 + c1 x
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Ŀ<EFBFBD>꺯<EFBFBD><EFBFBD>Ϊsum| nDataY - (a*nDataX+b)|^2<EFBFBD><EFBFBD>С
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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 : <EFBFBD><EFBFBD>ά<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ϵ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ϣ<EFBFBD>ax+by+c=0, Ŀ<EFBFBD>꺯<EFBFBD><EFBFBD>Ϊ<EFBFBD>㵽<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ֱ<EFBFBD>ߵľ<EFBFBD><EFBFBD><EFBFBD>
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ƽ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>С
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* Input : x<EFBFBD><EFBFBD> y<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ά<EFBFBD><EFBFBD><EFBFBD><EFBFBD>X<EFBFBD><EFBFBD>Y
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num, <EFBFBD><EFBFBD>ά<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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* Output : para<EFBFBD><EFBFBD> <EFBFBD><EFBFBD><EFBFBD><EFBFBD>ֱ<EFBFBD>߲<EFBFBD><EFBFBD><EFBFBD>, 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
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