代码搜索：gaussian
找到约 7,040 项符合「gaussian」的源代码
代码结果 7,040
www.eeworm.com/read/289642/8537870
m rxy_gaussian.m
function result = Rxy_gaussian(d_norm,phi_0_deg,sigma_deg,delta_phi_deg)
% result = Rxy_gaussian(d_norm,phi_0_deg,sigma_deg,delta_phi_deg)
%
% Computes the envelope correlation of the signals in th
www.eeworm.com/read/289642/8537884
m plot_gaussian.m
function plot_gaussian(number_clusters, power, AOA_deg, sigma_deg, ...
delta_phi_deg, plot_number)
% plot_gaussian(number_clusters, power, AOA_deg, sigma_deg,
% delta_phi_deg,
www.eeworm.com/read/289642/8537917
m normalisation_gaussian.m
function [Q, sigma_deg] = normalisation_gaussian(number_clusters, ...
power_lin, AS_deg, delta_phi_deg)
% [Q, sigma_deg] = normalisation_gaussian(number_clusters,
% power_lin,
www.eeworm.com/read/289642/8537952
m rxx_gaussian.m
function result = Rxx_gaussian(d_norm,phi_0_deg,sigma_deg,delta_phi_deg)
% result = Rxx_gaussian(d_norm,phi_0_deg,sigma_deg,delta_phi_deg)
%
% Computes the correlation of the real and imaginary par
www.eeworm.com/read/432925/8563474
m gaussian_filt.m
% GABORFILT Gabor Filtering
% Y = GABORFILT(X, F, A, S) filters the data in vector X
% with the Gabor filter described by A, F and S to create the
% filtered data Y.
www.eeworm.com/read/432925/8563505
m gaussian_filt.m
% GABORFILT Gabor Filtering
% Y = GABORFILT(X, F, A, S) filters the data in vector X
% with the Gabor filter described by A, F and S to create the
% filtered data Y.
www.eeworm.com/read/387675/8659628
m gaussian_density.m
%求类条件概率
function [dens]=gaussian_density(test,ms,sigs,ps)
for i=1:30
x=(test(i,:))'
for j=1:3
%根据参数计算每类的概率密度函数 即p（x|wi）
dens(i,j)=1/((2*pi)*sqrt(det(sigs(:
www.eeworm.com/read/387675/8659631
m gaussian_classify.m
%通过比较后验概率的大小进行分类
function [testclass] = gaussian_classify( test,ms,sigs,ps)
%GAUSSIAN_CLASSIFY Summary of this function goes here
% Detailed explanation goes here
dens=gaussian_density(test,ms,s
www.eeworm.com/read/387675/8659634
m fit_gaussian.m
function [ ms,sigs,ps ] = fit_gaussian( input,target)
%FIT_GAUSSIAN Summary of this function goes here
% Detailed explanation goes here
s=size(target);
for j=1:s(2)
ms(j,:)=mean(input((j-1)
www.eeworm.com/read/286900/8738135
m rxy_gaussian.m
function result = Rxy_gaussian(d_norm,phi_0_deg,sigma_deg,delta_phi_deg)
% result = Rxy_gaussian(d_norm,phi_0_deg,sigma_deg,delta_phi_deg)
%
% Computes the envelope correlation of the signals in th