jacobian

说明：  Simple control system design model. Project about control system of a manufacturing flow process.

基于雷达一维距离像的目标识别，采用最大相关系数算法，是最简单的基于HRRP的目标识别算法，适合新手。(Radar HRRP target recognition, the maximum correlation coefficient algorithm is based on the most simple HRRP target recognition algorithms, suitable for the novice.)

文章Iterative thresholding compressed sensing MRI based on contourlet transform, Inverse Problems in Science and Engineering及其代码。(Demo for using contourlet as an operator.)

这是篇关于matlab环境下的数字滤波器的论文，MATLAB在数字滤波器设计中的应用(This is a chapter on the environment matlab digital filter paper, MATLAB in Digital Filter Design Application)

SMI读写数据程序，可实现读写寄存器里的数据(SMI program to read and write data, you can read and write data register)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。(Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for )

PSO的最基础版本，可用于粒子群算法，和群体智能的学习(The most basic version of PSO can be used for particle swarm optimization and swarm intelligence learning)

Applied Numerical Methods Using Matlab ,Matlab在数值计算中的应用的经典书籍(Applied Numerical Methods Using Matlab is a classic book)

主要时STTC，的编码时我再网络上收及的(sttc )

说明：  一个PN序列发生器，大M序列，供参考学习，(A PN sequence generator, the M series, for reference study,)