jacob

dspmatlab例子，供学习matlab者或需要程序者享用(dspmatlab examples for learning matlab procedure or the need to enjoy)

说明：  介绍matlab画图的很好、很全面的ppt(matlab_plot)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)

OFDM仿真C++代码，相互学习，相互帮助(OFDM simulation C++ code, learn each other and help each other)

仿真了AM信号的产生过程和方法，过程详尽，方法简单，已经过测试。(Simulation of the AM signal generation process and methods, processes and detailed, the method is simple, has been tested.)

vehicle suspension system

基于龙格库塔法的Matlab数值积分函数(Runge-Kutta numerical method based on Matlab integral function)

对一个线性二阶系统进行基于阶跃响应模型的预测控制以及详细讲解(Predictive control based on step response model for a linear second-order system)

This thesis describes methods for solving certain optimization problems commonly arising in computer vision by PETTER STRANDMARK

用于函数优化问题的混合粒子群文化算法源程序(program of function optimization based on Cultural algorithm )