well-sampler

《小波分析理论与Matlab7实现例程》一书里面各章节的源码，可以直接使用，对于学习很省时间。("wavelet analysis theory and Matlab7 achieve routines," a book which all sections of the source code, can be directly used for the study is time.)

RLS 算法功能的基本实现，有兴趣者会受益匪浅的(RLS algorithm to achieve the basic function, will benefit those interested in the)

The package contains matlab coding and algorithms which will be easy to understand and provides a variety of strategies to develop a good programming skill

利用matlab求解混沌的各种类型，都有源程序，分的很细，很容易学习的(Use matlab to solve all types of chaos, there is source of very fine, very easy to learn)

基于分数阶3.0工具箱,对学校分数阶PID控制有一定学习作用(Based on fractional order 3.0 toolbox, it has a certain learning effect on fractional order PID control in schools.)

Fisher分类函数 对应《模式识别与智能计算的matlab实现》中的例2.4(Pattern Recognition and Intelligent Computing matlab achieve the Fisher classification function corresponding Example 2.4)

Matlab版的支持向量机函数，其中包含支持向量机的选择方法，交叉检验等方法。(Matlab version of the package of support vector machine, which contains a selection method for support vector machines, cross-examination and other methods.)

Code matlab: BER,SER,SNR in cooperation network

In this work, the Mel frequency Cepstrum Coefficient (MFCC) feature has been used for designing a text dependent speaker identification system. The extracted speech features (MFCC’s) of a speaker are quantized to a number of centroids using vector quantization algorithm. These centroids constitute the codebook of that speaker. MFCC’s are calculated in training phase and again in testing phase. Speakers uttered same words once in a training session and once in a testing session later. The Euclidean distance between the MFCC’s of each speaker in training phase to the centroids of individual speaker in testing phase is measured and the speaker is identified according to the minimum Euclidean distance. The code is developed in the MATLAB environment and performs the identification satisfactorily.

两种子空间辨识的闭环方法 两种子空间辨识的闭环方法 (Two closed-loop subspace identification method of the two closed-loop subspace identification methods)