Wavelet-soft-threshold

分数阶PID比一般PID多了2个可调参数，实现了常规PID所无法实现的控制功能，并且更精确有效(Fractional PID PID more than two adjustable parameters, and can not be achieved by the conventional PID control functions, and more accurate and efficient)

MATLAB 语言入门资料，高校老师编写(MATLAB language introductory information on the preparation of college teachers)

WINNER 2 Channel Model antenna ver064

仿真程序用于实现DS-CDMA通信系统的仿真(Simulation simulation program for implementing the DS-CDMA communication system)

这是关于改进后的符号LMS算法程序，这是关于改进后的符号LMS算法程序(This is a sign of improved procedures for LMS algorithm, which is the sign of the improved procedures for LMS algorithm)

its source code for face protected system

模拟FM信号的解调子程序，包括下变频、A/D采样、正交解调，最后输出基带信号。(Subroutine analog FM demodulation signal, comprising down-conversion, A/D sampling, orthogonal demodulation, and finally outputs a baseband signal.)

LDA简单的小程序，线性判别，用于分类的(LDA simple little program, linear discriminant for classification)

ace Detection Program for MATLAB 2013a using Gabor Feature Extraction and Neural Networks ---------------------------------------------------------------- 1- copy all files and directories to the MATLAB s work folder * In order to run the program you must have Image Processing and Neural Networks Toolboxes 2- (Important) Navigate to the root folder which contains "main.m". 3- Type "main" or "run main" in the command window 4. Only fort the first time, the program creates Gabor filters and stores them in ./data/gabor.mat Training set dataset and stores it in ./data/imgdb.mat Neural Network and stores it in ./data/net.mat 5- imgdb is short for "image data base". 6- When the program menu appears click on "Train Network" and wait until the program is done with the training

This is the error backpropagation algorithm based character recognition program developed in matlab. The program folder contains the training images of some english alphabets & numerals. & trains the neural network using train command in matlab. The neural network is initialized using newff command. After the simulation, the program recognizes the input character. Accuracy on the provided images is 100 .