SQPM

基于欧几里得距离的聚类分析，语音信号的采集与处理，数字信号处理课设，是路径规划的实用方法。( Clustering analysis based on Euclidean distance, Acquisition and Processing of the speech signal, digital signal processing class-based, Is a practical method of path planning.)

有关猫脸变换的源代码，在Matlab环境下可以运行(Transform cat face on the source code, in Matlab environment can run)

我找到的matlab的最新工具箱，能解决很多问题，由于内容很杂，有这方面需要的朋友不妨下载看看，仔细研究一下，或许有新的发现(I find the latest Matlab Toolbox can solve many problems, since the content is very complicated, and a need of a friend may wish to download look carefully, there may be a new discovery)

Being able to place a lower bound on the variance of any unbiased estimator is very useful

This is my first file, Graphical numerical solution

基于matlab语音分帧程序，对于语音分帧入门有很大的帮助(Matlab program based voice sub-frame, sub-frame for voice entry is very helpful)

流形学习是近年来机器学习及模式识别等领域的一个研究热点，其主要目标是去发现高维观察数据空间的低维光滑流形。自从2000年Roweis和Saul提出LLE算法、Tenenbaum等人提出Isomap算法，特别是Donoho等人发现Isomap算法能够准确发现人脸图像流形潜在的参数空间、张长水等人将LLE算法用于人脸识别并取得了较好的识别效果之后，基于流形学习的人脸识别研究引起了人们的广泛关注。(Manifold learning in recent years the field of machine learning and pattern recognition as a research focus, its main goal is to find high-dimensional data space observation of low-dimensional smooth manifold. Since 2000 LLE algorithm proposed by Roweis and Saul, Tenenbaum and others proposed Isomap algorithm, especially Donoho, who found that Isomap algorithm can find the potential face images of the parameter space manifold, and Chang-water will LLE algorithm for face recognition and to obtain a good recognition results, the manifold learning-based face recognition research has aroused extensive attention.)

中央大学EMD程序，只是没有关于IMF分量判断标准程序(Central University EMD procedure, but there is no weight on the IMF to determine the standard procedures)

产生m序列，应用于扩频你通信技术，非常实用。(Including pseudo-code tracking and using Matlab implementation of direct sequence spread spectrum signal tracking procedures.)

machine learning方面的regression，语言是python.比较基础的资料(machine learning aspects of the syllabus, language is the python. basis of comparison data)