UFLDL

详细介绍了matlab的基础知识，简单易懂的入门读物(MATLAB)

Matlab source code for M_PEGASIS.

电子工业出版社《数字信号处理——基于计算机的方法》第三版的matlab代码，(Publishing House of Electronics Industry "digital signal processing- computer-based method for the third edition of the matlab code)

java中调用matlab函数的例子，大家可以参考看看如何实现的。(java Calling Matlab function examples, we can see how the reference to the case.)

说明：  基于局域法多步预报模型的混沌时间序列预报模型，对多个典型混沌序列的仿真测试表明，本算法具有良好的多步预测精度和较好的抗噪声能力(based multi-step prediction model of chaotic time series prediction model, a number of typical chaotic sequence of simulation tests show that the algorithm has a good multi-step forecast accuracy and better noise immunity)

说明：  对偶形式的核Fisher辨别分析，能够实现两类模式的分类。该代码源自经典的机器学习教材--模式分析的核方法。(Dual form of nuclear Fisher discriminant analysis, to achieve the classification of two patterns. The code from the classic machine learning materials- model analysis of nuclear methods.)

Demonstration of the reproduction of a generalized trajectory through Gaussian Mixture Regression (GMR), when considering two independent constraints represented separately in two Gaussian Mixture Models (GMMs). Through regression, a smooth generalized trajectory satisfying the constraints encapsulated in both GMMs is extracted, with associated constraints represented as covariance matrices.

this best way of removal of noise for beginners

说明：  雷达模拟程序，图像界面，在不同版本的MATLAB运行时需要调试。(Radar simulation program, image interface, need to be debugged in different versions of MATLAB.)

matlab实现的k均值聚类算法，可以实现对大量数据的有效分类(matlab implementation of the k-means clustering algorithm, can achieve a large amount of data on an effective classification)