ODEPDE

用matlab写的模式识别中C均值分类算法，数据被分成2类，经验证正确(Pattern recognition with matlab written in C-means classification algorithm, the data is divided into two categories, proven correct)

利用MATLAB的声音频谱信号的采集、分析和处理，最后形成报表处理(Analysis and processing of the sound spectrum signal acquisition by MATLAB, and finally the formation of report processing)

The CCA-fMRI Toolbox implements the use of canonical correlation analysis (CCA) for detecting brain activity patterns recorded by functional magnetic resonance imaging (fMRI).

struct2的一个列子，简单的描述了struct2的配置和测试使用(A Lie struct2 and simple description of the configuration and testing of the use of struct2)

经验模态分解法程序emd，运行准确，适合进行hilbert-huang变换的人员使用(a precess of emd)

详细的介绍了FDTD进行数学建模分析的相关数学理论知识。(A detailed description of the FDTD related mathematical theory knowledge of mathematical modeling analysis.)

利用matlab程序，进行模糊PID设计(Using matlab procedures designed fuzzy PID)

在OFDM仿真模型的基础上用MATLAB语言编写出OFDM发送、信道及接收整个系统,在系统仿真正确的前提下,对循环前缀、信道估计等性能改善方法进行进一步仿真验证 (In OFDM simulation model based on the use of MATLAB language to send the OFDM, channel and receive the entire system, in the system under the premise of the correct simulation of the cyclic prefix, channel estimation methods for further performance improvement simulation)

说明：  使用FFT分析三角波信号的频谱，讨论采样点数、采样频率对谱分辨率的影响。对数据叠加白噪声后再次分析实验结果。(FFT analysis of the use of the triangular wave signal spectrum to discuss the sampling points, the sampling frequency of the impact of spectral resolution. White noise superimposed on the data after analysis of experimental results.)

已知观测数据为A+W(n)，其中A为直流信号，W为复高斯噪声，服从CN（0， ），在统计N次下，计算X的统计平均值 ，求T(x)= 的pdf：p(T(x)|H0)、p(T(x)|H1)。 H0： W H1： A+W (Known observation data A+W (n), where A is the DC signal, W is the complex Gaussian noise, subject CN (0,), N times in the statistics, the calculation of the statistical mean of X, find T (x) = a pdf : p (T (x) | H0), p (T (x) | H1). H0: W H1: A+W)