代码搜索：gaussian

找到约 7,040 项符合「gaussian」的源代码

代码结果 7,040
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c gaussian.c

#include #define pi 3.1415 double gaussian(double x) { double resu; resu=-0.5*x*x; resu=exp(resu); resu=resu/sq
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h gaussian.h

#pragma once #include "gmm/clust_defs.h" class CGaussian { public: CGaussian(void); ~CGaussian(void); // 从文件中导入GMM模型，path为文件目录，返回是否装载成功 bool LoadModel(const char *path); // 将GMM模型导
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cpp gaussian.cpp

#include "Gaussian.h" #include "gmm/alloc_util.h" #include "gmm/clust_io.h" #include "gmm/clust_util.h" #include "gmm/subcluster.h" #include "gmm/classify_util.h" CGaussian::CGaussian(void)
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m gaussian.m

function p=gaussian(x,m,C); % p=gaussian(x,m,C); % % Evaluate the multi-variate density with mean vector m and covariance % matrix C for the input vector x. % % p=gaussian(X,m,C); % % Vectorized ver
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dat gaussian.dat

1651 1 b00 1 2000 0x161 0xfe9f 0xf6f9 0x6cb 0x2e9 0xff26 0xfe08 0xfdac 0x4d9 0x4b 0xfd68 0x4f2 0x19a 0xffa8 0xfdac 0xfcce 0x1d4 0xd2 0x472 0x1fd 0xfdb5 0x2f 0x57f 0x2e2 0xfe46
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c gaussian.c

#include #define pi 3.1415 double gaussian(double x) { double resu; resu=-0.5*x*x; resu=exp(resu); resu=resu/sq
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m gaussian.m

function f = gaussian(t,f0,t0) if isempty(t0), t0 = 0.45/f0; end f = exp(-( 2*pi*f0*(t-t0) ).^2) ;
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jpg gaussian.jpg

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c gaussian.c

#include #define pi 3.1415 double gaussian(double x) { double resu; resu=-0.5*x*x; resu=exp(resu); resu=resu/sq
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www.eeworm.com/read/345944/11778444

c gaussian.c

#include #define pi 3.1415 double gaussian(double x) { double resu; resu=-0.5*x*x; resu=exp(resu); resu=resu/sq
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