This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources.
标签： instantaneous algorithm Bayesian Gaussian
上传时间： 2013-12-19
上传用户：jjj0202
WML（Wireless Markup Language - 无线标记语言）这种描述语言同我们常听说的HTML语言同出一家，都属于X ML语言这一大家族。HTML语言写出的内容，我们可以在我们的PC机上用IE或是Netscape等浏览器进行阅读，而 WML语言写出的文件则是专门用来在手机等的一些无线终端显示屏上显示，供人们阅读的，并且同样也可以向使用者提供人机交互界面，接受使用者输入的查询等信息，然后向使用者返回他所想要获得的最终信息。
标签： Language Wireless Markup HTML
上传时间： 2013-12-05
上传用户：csgcd001
IDCT-M is a medium speed 1D IDCT core -- it can accept a continous stream of 12-bit input words at a rate of -- 1 bit/ck cycle, operating at 50MHz speed, it can process MP@ML MPEG video -- the core is 100％ synthesizable
标签： continous IDCT-M accept medium
上传时间： 2015-07-07
上传用户：1583060504
供初学空时编码（vblast接收）的matlab仿真程序，是关于vblast接收中ML算法的简单的仿真
上传时间： 2015-09-04
上传用户：diets
该程序模拟UNIX中save与resume函数,并介绍在VC中如何使用汇编进行机器级的操作. 主函数很简单首先引入两个外部函数,extern "C"表示按传统C命名习惯.函数save将程序指针保存在(*s)中并返回0,为什么有 if(save(&sp)){...} if后的语句看起来永远都不会被执行,但是运行结果表明它被执行了.这个问题同UNIX中处理机调度函数(switch)的那个if语句(第一句)一样. 程序执行完save(&sp)后得到因为条件为假而执行else语句,却在判断之前将程序指针保存在sp中了. else语句中的resume(&sp),该函数很狡猾将堆栈中的返回地址改变了,改到了sp所指出,即将程序指针改到了执行条件判断前.resume返回1,条件满足,执行if语句. save函数堆栈: eip ebp+8 s ebp+4 ebp ebp+0 resume函数堆栈与save的相同. 新建一个win32的工程,将unixc.cpp和unix.obj加入过程即可. unix.obj是用masm6.11生成的:ml /c /coff unix.asm,生成coff格式的obj而不是omf格式.
上传时间： 2015-09-10
上传用户：变形金刚
Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.
标签： Hidden_Markov_model_for_automatic speech_recognition implements left-right
上传时间： 2016-01-23
上传用户：569342831
HMM基本算法实现，包括三个基本算法。scoring,alignment,EM
上传时间： 2016-02-23
上传用户：253189838
一种常用空分复用的MIMO系统，v-blast系统的各种检测算法：ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法
上传时间： 2013-12-13
上传用户：源弋弋
该算法包包含了hierichal，kmeans，em聚类算法，非常实用。
上传时间： 2016-04-06
上传用户：363186
Kalman filter toolbox written by Kevin Murphy, 1998. See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details. Installation ------------ 1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html 3. Assuming you installed all these files in your matlab directory, In Matlab type addpath matlab/KPMtools addpath matlab/Kalman Demos ----- See tracking_demo.m for a demo of 2D tracking. See learning_demo.m for a demo of parameter estimation using EM. 较早版本的kalman滤波matlab源码，适合研读。
标签： Software toolbox murphyk written
上传时间： 2016-05-13
上传用户：541657925
