代码搜索：codebook
找到约 1,717 项符合「codebook」的源代码
代码结果 1,717
www.eeworm.com/read/397122/8065853
m codedist_bay.m
function dist = codedist_bay(C1,C2,Py)
% compute the distance using a Bayesian metric between 'C1' and 'C2'
%
% dist = codedist_bay(C1,C2,{Py})
%
% 'C1' contains the result code,
% 'C2' contains
www.eeworm.com/read/331336/12832569
m codedist_bay.m
function dist = codedist_bay(C1,C2,Py)
% compute the distance using a Bayesian metric between 'C1' and 'C2'
%
% dist = codedist_bay(C1,C2,{Py})
%
% 'C1' contains the result code,
% 'C2' contains
www.eeworm.com/read/324303/13273795
m codedist_bay.m
function dist = codedist_bay(C1,C2,Py)
% compute the distance using a Bayesian metric between 'C1' and 'C2'
%
% dist = codedist_bay(C1,C2,{Py})
%
% 'C1' contains the result code,
% 'C2' contains
www.eeworm.com/read/318947/13465999
m codedist_bay.m
function dist = codedist_bay(C1,C2,Py)
% compute the distance using a Bayesian metric between 'C1' and 'C2'
%
% dist = codedist_bay(C1,C2,{Py})
%
% 'C1' contains the result code,
% 'C2' contains
www.eeworm.com/read/316944/13514032
m codedist_bay.m
function dist = codedist_bay(C1,C2,Py)
% compute the distance using a Bayesian metric between 'C1' and 'C2'
%
% dist = codedist_bay(C1,C2,{Py})
%
% 'C1' contains the result code,
% 'C2' contains
www.eeworm.com/read/313956/13578413
c indxtabl.c
/*
* INDXTABL A SIMULINK index look up table.
*
* Syntax: [sys, x0] = indxtabl(t, x, u, flag, codebook)
* This block takes the block input as index and the output is one of the
*
www.eeworm.com/read/306763/13737958
m multiclasscoding.m
%X=load('E:\吴治峄\数据\实验数据\调试SVM的简化data4(set1daq2).txt');
%x1=load('E:\吴治峄\数据\实验数据\调试SVM的简化data1(采集2).txt');
%X=load('E:\吴治峄\数据\实验数据\背景噪声1.txt');
X=load('E:\吴治峄\数据\实验数据\泄漏与干扰1.txt');
%X=load('E:\吴治峄\
www.eeworm.com/read/150749/12267380
m codedist_bay.m
function dist = codedist_bay(C1,C2,Py)
% compute the distance using a Bayesian metric between 'C1' and 'C2'
%
% dist = codedist_bay(C1,C2,{Py})
%
% 'C1' contains the result code,
% 'C2' contains
www.eeworm.com/read/225111/14555541
m classification_ls_svmlab.m
% 支持向量机用于多类模式分类 - 必须选择最优参数 gam,sig2
% 工具箱：LS_SVMlab
% 使用平台：Matlab6.5
% 作者：陆振波，海军工程大学
% 欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页
% 电子邮件：luzhenbo@yahoo.com.cn
% 个人主页：http://luzhenbo.88uu.com.cn
clc
clea
www.eeworm.com/read/119681/14824468
m codedist_bay.m
function dist = codedist_bay(C1,C2,Py)
% compute the distance using a Bayesian metric between 'C1' and 'C2'
%
% dist = codedist_bay(C1,C2,{Py})
%
% 'C1' contains the result code,
% 'C2' contains