libsvm

隐马尔科夫模型是语音识别中的重要算法思想，这里在matlab下实现了一个原理性的算法(Hidden markov models is an important algorithm in speech recognition, here under the matlab implements a rational algorithm)

包含两个部分：1传统粒子群算法优化BP神经网络 2改进的粒子群算法优化BP神经网络源代码(It consists of two parts: a traditional particle swarm optimization BP neural network 2 Improved particle swarm optimization BP neural network source code)

matlab指令大全，其中包括了matlab6.5的指令及其使用方法。(Guinness matlab commands, including instructions matlab6.5 and its use.)

CHAPTER 1- real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954

this package provides the segmentation using k means algorithm

基于simulinck的坐标变换详解，包括所有park变换，clack变化等所有模块(Detailed simulinck coordinate transformation based, including all modules all park transform, clack changes)

实时读取MIT数据库中的二进制文件，并显示ECG信号(Real-time read the MIT database binary files and show ECG signal)

matlab gui development example

EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

图像处理中经典的PCA算法，几乎每一步的降维之前都要用到 实用性很强(PCA classical image processing algorithms, almost every step of dimension reduction should be used in very practical before)