sy4

8 Point FFT using Matlab Simulink

基于matlab，可以将数据输出为txt或者为dat格式的程序(Based on matlab, data can be output as a txt or dat format for the program)

This is the source code to calculate/giving duty cycle to the gate of power electronic device like MOSFET, IGBT, etc using c languange integrating in Matlab, please compile it using "mex dutycycle.c" in your matlab command and run it in simulink

说明：  因为经典粗糙集只能处理离散型数据，而连续性数据必须离散化才能处理，但是离散化可能会丢失部分重要信息，所有使用基于邻域粗糙集的属性约简去处理连续性数据。(Attribute reduction based on neighborhood rough set)

一个经典的matlab信道模型实例,附有源码的，已通过仿真测试 (a example of mimo channel)

重装系统后恢复matlab文件关联,重装系统后，若没动MATLAB安装目标，则MATLAB不用重新安装。（同样的原因，可以移动MATLAB安装目标）对MATLAB相关文件，建立重新关联就行了。(Reinstall the system restore matlab file association, reinstall the system, if no action MATLAB installation target, MATLAB without having to reinstall. (For the same reason, you can move MATLAB installation target) on MATLAB related files, to establish re-associate on the line.)

This model explains the usage of Data read/write and Data store Memory. Simple example gives the effective usage of Memory blocks

线性最小均方自适应滤波器设计Matlab程序。(Linear minimum mean square adaptive filter design)

《最优化方法及其Matlab程序设计》较系统地介绍了非线性最优化问题的基本理论和算法，以及主要算法的Matlab程序设计，主要内容包括（精确或非精确）线搜索技术、最速下降法与（修正）牛顿法、共轭梯度法、拟牛顿法、信赖域方法、非线性最小二乘问题的解法、约束优化问题的最优性条件、罚函数法、可行方向法、二次规划问题的解法、序列二次规划法等。(" Optimization Methods and Matlab programming" more systematic introduction to the basic theory and algorithms nonlinear optimization problem and the main algorithm Matlab programming, the main contents include (exact or non-exact) line search technique, the steepest descent method and (corrected) Newton method, conjugate gradient method, quasi-Newton method, trust region methods, solution of nonlinear least squares problems, constrained optimization problem optimality conditions, penalty function method, feasible direction method, quadratic programming problems The solution, the sequential quadratic programming method.)

GPS基本原理及其matlab实现程序,可以调试通过！是不错的资料！(GPS basic principles and procedures matlab realize, you can debug through! Good information!)