代码搜索：Probability
找到约 4,670 项符合「Probability」的源代码
代码结果 4,670
www.eeworm.com/read/407047/11430898
m calccovpul.m
%CALCCOVPUL CALCCOVPUL calculates the area coverage probability for wanted
% service (bit-rate) and wanted MS speed. It uses the traffic distribution
% which has been gener
www.eeworm.com/read/336521/12439554
m gmmlpdf.m
function l=gmmlpdf(x,m,v,w)
%GMMPDF calculated the pdf of a mixture of gaussians p=(x,m,v,w)
%
% Inputs: n data values, k mixtures, p parameters
%
% X(n,p) Input data vectors, one per row.
www.eeworm.com/read/231737/14222335
txt readme.txt
In this directory, we can find the eleven files. The relationship between file name and the number of program written in the book is shown in as follows.
Program7-1 dcamain.m
Program7-2 b
www.eeworm.com/read/128468/14295390
m bayesnd.m
function [A,B,C]=bayesnd(P1,P2,M1,M2,C1,C2)
% BAYESND computes parameters of quadratic discriminat function.
% [A,B,C]=bayesnd(P1,P2,M1,M2,C1,C2)
%
% BAYESND calculates discrimination function fo
www.eeworm.com/read/228472/14383025
txt readme-chap7.txt
%
% README Chapter 7
%
% by Hiroshi Harada
%
% If you have any bugs and questions in our simulation programes, please e-mail
% to harada@ieee.org. We try to do our best to answer your questions.
www.eeworm.com/read/228372/14387981
m gmmlpdf.m
function l=gmmlpdf(x,m,v,w)
%GMMPDF calculated the pdf of a mixture of gaussians p=(x,m,v,w)
%
% Inputs: n data values, k mixtures, p parameters
%
% X(n,p) Input data vectors, one per row.
www.eeworm.com/read/227483/14422898
txt readme-chap7.txt
%
% README Chapter 7
%
% by Hiroshi Harada
%
% If you have any bugs and questions in our simulation programes, please e-mail
% to harada@ieee.org. We try to do our best to answer your questions.
www.eeworm.com/read/295341/8168904
txt readme-chap7.txt
%
% README Chapter 7
%
% by Hiroshi Harada
%
% If you have any bugs and questions in our simulation programes, please e-mail
% to harada@ieee.org. We try to do our best to answer your questions.
www.eeworm.com/read/393518/8280782
m gaussmix.m
function [m,v,w,g,f,pp,gg]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,g,f]=(x,c,l,m0,v0,w0)
%
% Inputs: n data values, k mixtures, p paramet
www.eeworm.com/read/393518/8280850
m gmmlpdf.m
function l=gmmlpdf(x,m,v,w)
%GMMPDF calculated the pdf of a mixture of gaussians p=(x,m,v,w)
%
% Inputs: n data values, k mixtures, p parameters
%
% X(n,p) Input data vectors, one per row.