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matlab语言开发的图像去噪的固定点迭代法， 基于偏微分方程的一个算法。(Matlab language Image Denoising fixed-point iteration method, based on partial differential equations of an algorithm.)

这是可控金字塔（steerable pyramids）的代码，使用Matlab 编写(This is controllable pyramid (steerable pyramids) code, the use of Matlab to prepare)

all BCi chain. the award paper . EEG signal

说明：  熟悉OQPSK的基本原理、调制解调技术，掌握MATLAB中M文件的使用及相关函数的调用方法(The goal of this design is to deeply understand the basic principle of OQPSk modulation and demodulation, learn how to use MATLAB software in the M file to realize OQPSk modulation and demodulation analysis and join the influence of different noise on the signal, the first to create a digital baseband signal and then the corresponding function in MATLAB the baseband signal modulation, and then analyses the waveform of the modulated, record the results of modulated signals after demodulation, observe the demodulation results and record, finally adding noise in the signal and then observe the changes of the time-frequency diagram,)

这是一个用matlab实现0到9数字的识别，先生成每个数字的10个模板，再进行数字识别。(This is a matlab implementation to use the identification numbers 0 to 9, sir, as per figures 10 templates, and then for digital identification.)

用matlab的小波工具箱和神经网络工具箱实现的短期负荷预测(Using the wavelet toolbox matlab neural network toolbox and realize short-term load forecasting)

用matlab实现维特比算法译码，程序简单易懂，自己编写的。(Using matlab Viterbi decoding algorithm, the program is simple and easy to understand, I have written.)

BEZIER_SURFACE_DISPLAY is a work in progress . I have managed to read the data in and display a crude image, in which each Bezier patch is represented by a flat rectangle. Obviously, I need to take the next step, which is to be able to sample the bicubic function and display a finer mesh of rectangles, in order to see the teapot in its glory!

This is layleigh source code for Matlab program

This addresses the use of ANFIS function in the Fuzzy Logic Toolbox for nonlinear dynamical system identification. This also requires the System Identification Toolbox, as a comparison is made between a nonlinear ANFIS and a linear ARX model.