TSP1

说明：  能进行格里高利历、儒略日、GPS时、年积日的转化。(Conversion the Gregorian calendar, Julian Day and GPS)

利用matlab模拟光纤光栅传光的特性分析源代码(Analysis of the source code using matlab to simulate the characteristics of the return optical fiber grating)

包含pid控制器的一些程序，能够生成有故障或无故障数据，为一些相应matlab仿真提供数据(we can use it to produce pid-data)

Cognitive radio code - detection a hole in spectrum

永磁同步电动机的开环控制的matlab/simulink仿真。供大家学习。(Permanent magnet synchronous motor open-loop control matlab/simulink simulation. For everyone to learn.)

MUSIC算法以及二维MUSIC算法程序及仿真图(MUSIC algorithm and 2D-MUSIC algorithm)

这是一份MATLAB基础课件，由于我也是初学者，这部课件讲的很浅显，但比较适合初学者对MATLAB所有功能的一个初步了解内容包括涵数值数组及其运算， M文件和面向对象编成， 字符串数组， 符号变量， matlab 绘图 及 Simulnk动态仿真。以及两个基本浅显的程序题。此为第 1章。(This is a basic MATLAB courseware, because I am also a beginner, this software is very simple-speaking, but more suitable for beginners of all the features of MATLAB, a preliminary understanding of the content including the Han and its numerical array computing, M documents and for object into string array, variable symbols, matlab graphics and dynamic simulation Simulnk. As well as the two basic procedures for simple questions. This is Chapter 1.)

robotic example simulated with matlab wich is important example

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

说明：  简单滤波器设计,在通信建模过程中是最基础的(the design of the simple filter)