trnsband.m.tar

有限元分析优化，主要基于水平集方法，comsol的二次matlab开发(Finite element analysis and optimization, mainly based on the level set method, comsol matlab development of secondary)

Include Test extends Activity Instrumentation Test Case Source Code for Andriod.

基于主成分分析的人脸识别的方法 在ORL人脸库中运行(Face recognition based on principal component analysis method in the ORL face database is running)

GUI_1 Explore simple string manipulation. Pushing the pushbutton deletes the string elements of a listbox one at a time.

ESPRIT（旋转不变）算法用于DOA估计，对一维ESPRIT算法进行仿真，对估计误差进行分析，效果不错(ESPRIT rotation invariant algorithm for DOA estimation algorithm for one-dimensional ESPRIT simulation, estimation error analysis, good results)

这是周建兴编写的<<matlab从入门到精通》第三章的所有源代码，都可以运行的出来，和课本上的一样，(This is Zhoujian Xing written < <matlab从入门到精通》第三章的所有源代码，都可以运行的出来，和课本上的一样，)

source code using principal component analysis and similirity matching with the ecludien distance this is an approach used for face recognition. this file also contains and test images

说明：  半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)

说明：  系统辨识与MATLAB仿真程序与剖析夹介绍了MATLAB应用入门方法，本程序是关于m序列的MATLAB程序。并提供具体程序予以分析(System identification and analysis of MATLAB simulation program with MATLAB Applications folder entry describes the method, the program is on the m sequence of MATLAB. And to provide specific procedures to analyze)

matlab code for wola filter bank