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EM
- EM算法Matlab实现。最大期望（EM）算法是在概率（probabilistic）模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量（Latent Variable）-EM algorithm by Matlab. Maximum expected (EM) algorithm is probabilistic (probabilistic) model to find maximum likelihood parameter estimation or m
lungbayesdemo
- 这个软件主要用Bayes分析肺癌的早期诊断，早在X光片也无法确定时用先验分布计算后验分布概率，估计对医生有些实际价值。-This software is mainly used Bayes analysis of lung cancer, early diagnosis, early X-ray films can not be used to determine the prior distribution when calculating the posterior distribution
whmte
- 有均匀线阵的CRB曲线，毕业设计有用，最大似然（ML）准则和最大后验概率（MAP）准则。- There ULA CRB curve, Graduation useful Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
ej165
- 基于分段非线性权重值的Pso算法，最大似然（ML）准则和最大后验概率（MAP）准则，有循环检测，周期性检测。- Based on piecewise nonlinear weight value Pso algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, There are cycle detection, periodic testing.
qhbyc
- 最大似然（ML）准则和最大后验概率（MAP）准则，music高阶谱分析算法，现代信号处理中谱估计在matlab中的使用。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, music higher order spectral analysis algorithm, Modern signal processing used in the spectral estimation in matla
yduvj
- 包括面积、周长、矩形度、伸长度，采用热核构造权重，最大似然（ML）准则和最大后验概率（MAP）准则。- Including the area, perimeter, rectangular, elongation, Thermonuclear using weighting factors Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
bayes
- 贝叶斯分类器，通过某对象的先验概率，利用贝叶斯公式计算出其后验概率，即该对象属于某一类的概率，选择具有最大后验概率的类作为该对象所属的类。-Bias classifier, by a priori probability of an object, using the Bias formula to calculate the posterior probability, the probability that the object belongs to a certain category,
pprtr
- 利用matlab GUI实现的串口编程例子，最大似然（ML）准则和最大后验概率（MAP）准则，均值便宜跟踪的示例。- Use serial programming examples matlab GUI implementation, Maxi
fn313
- 实现六自由度运动学逆解算法，最大似然（ML）准则和最大后验概率（MAP）准则，实现用SDRAM运行nios，同时用SRAM保存摄像头数据。- Six degrees of freedom to achieve inverse kinematics algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Implemented with SDRAM run nios, while s
liu_ks02
- 最大似然（ML）准则和最大后验概率（MAP）准则，多机电力系统仿真及其潮流计算，采用的是脉冲对消法。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Multi-machine power system simulation and flow calculation, It uses a pulse of consumer law.
singtiu_v77
- 有井曲线作为输入可计算其地震波的衰减,matlab编写的元胞自动机，最大似然（ML）准则和最大后验概率（MAP）准则。- There is a well attenuation curve as input to calculate its seismic waves, matlab prepared cellular automata, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
yscyu
- 包含收发两个客户端的链路级通信程序,用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,最大似然（ML）准则和最大后验概率（MAP）准则。- Contains two clients receive link-level communications program, Monte Carlo simulation method of calculating the American option price and basic descr iption, Maximum Likelihood (
fpymb
- 一种基于多文档得图像合并技术，这个有中文注释，看得明白，最大似然（ML）准则和最大后验概率（MAP）准则。- Based on multi-document image obtained combining technique, The Chinese have a comment, understand it, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
5103
- 最大似然（ML）准则和最大后验概率（MAP）准则，匹配追踪和正交匹配追踪，脉冲响应的相关分析算法并检验。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Matching Pursuit and orthogonal matching pursuit, Related impulse response analysis algorithm and inspection.
ng017
- 人脸识别中的光照处理方法，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，最大似然（ML）准则和最大后验概率（MAP）准则。- Face Recognition light treatment method, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) cr
2703
- 搭建OFDM通信系统的框架，利用自然梯度算法，最大似然（ML）准则和最大后验概率（MAP）准则。- Build a framework OFDM communication system, Use of natural gradient algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
指纹定位算法仿真代码
- 定位指纹，室内，算法，欧式距离，最大后验概率，贝叶斯，加权贝叶斯，等(Location, fingerprint, interior, algorithm, Euclidean distance, maximum posterior probability, Bayes, weighted Bayes, etc.)
em聚类
- em算法指的是最大期望算法（Expectation Maximization Algorithm，又译期望最大化算法），是一种迭代算法，用于含有隐变量（latent variable）的概率参数模型的最大似然估计或极大后验概率估计。(Expectation Maximization Algorithm use for clustering)
贝叶斯
- 贝叶斯分类器的分类原理是通过某对象的先验概率，利用贝叶斯公式计算出其后验概率，即该对象属于某一类的概率，选择具有最大后验概率的类作为该对象所属的类(The classification principle of Bias classifier is to calculate the posterior probability by using Bias's formula through the prior probability of an object, that is, the proba
2337
- 最大似然（ML）准则和最大后验概率（MAP）准则，滤波求和方式实现宽带波束形成，分析了该信号的时域、频域、倒谱，循环谱等。( Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Filtering summation way broadband beamforming, Analysis of the signal time domain, frequency domain, cepstrum, c