SSBOLL79

神经网络PID控制算法的实现，相比于PID，神经网络PID具有更好的控制效果。(Neural network PID control algorithm, compared to PID, PID neural network has better control effect.)

说明：  vq方法用于语音识别。vq方法用于语音识别。(vq method for speech recognition.vq method for speech recognition.)

matlab利用hough变换检测直线的程序(matlab use hough transform line detection procedures)

文中对Matlab语言进行了最基础的介绍，从起开发背景到其具体应用。(text of the Matlab language for the most basic introduction, starting from the background to the development of their specific application.)

关于Trigger子系统的一个仿真模型，自己用simulink建的。(Trigger subsystem simulation model, built with simulink.)

this code is about mlp 1 layer neural network with back propagation training algorithm by using geradient descence for nonlinear system. input data are random.

基于matlab GUI的一个简单计算机系统，能实现加减乘除等简单算法(A simple matlab GUI based computer system, to achieve a simple algorithm for addition, subtraction, etc.)

matlab simulink倒立摆建模，适用于模糊控制算法(Inverted Pendulum Model Using Simulink)

一个GPS课程的全部代码，含有数据！很实用(MATLAB GPS SCRIPTS-- Charles Meertens and Doug Miller, U. Utah 3Jan95 These scripts were developed for/during a class in GPS and Active Tectonics Department of Geology and Geophysics, U. Utah, Spring, 1994 EXAMPLE RINEX Files (the only ones guaranteed to work this release) CUR10911.94N CUR10911.94O PAR10910.94N PAR10910.94O Main Program scripts: gpshora.m -- function to calculate Modified Julian Day, Homework#1 HW2.m -- Homework#2 read RINEX observation file and plot C/A code vrs. time HW3_plt.m-- Homework#3 read RINEX navigation file, plot satellite positions HW3_3dplt.m-- Same as HW3_plt.m, but 3d position plots HW4.m-- Homework#4 calculate and plot station position as function of time Functions called: calc_nav.m-- calculate satellite position calc_pos1.m-- calculate station position constants.m-- GPS constants coords.m-- convert x,y,z coordinates to lat, long, height date2j.m-- calculate MDJ eccenr.m-- calculate "E" anomally read_nav.m-- Read RINEX Nav file r)

利用matlab编写的gabor程序，可用于提取特征(Gabor prepared using matlab program can be used to extract features)