matlab.-lead-compesator

里面有论文，matlab的GUI源码，并结合了simulink的变成和连接。()

研究了存在系统误差时单站纯方位角无源定位系统的定位问题，分别在系统误差为常值和时变值时研 究了TLS-KF算法的性能，并通过估计系统误差是否存在，给出了一种选择最优定位算法的判决方法。该问题的 研究对于单站无源定位系统如何在存在系统误差时提高定位精度和性能，具有一定的理论意义和实际意义。 (The single station bearing-only passive target localization was studied when system bias was existent.The performance of TLS-KF was studied vias simulations in the cases that the system bias was a constant and time variant respectively.In order to choose the optimum localization algorithm,a criterion was given to estimate whether the system bias was existent.The study of this paper is helpful in practical target localization. )

MATLAB通信仿真及应用实例详解好的一本书，里面有实例和M文件代码。(MATLAB simulation and communication application example explanation good book, there are examples and M file code.)

la commande dtc de la gsap

GREETINGS Seasonal holiday fractal

master thesis in reflective environment

ConventionalBeamforming codes and will show us detailed information on it, including some figures

说明：  基于优化算法的bp神经网络，用于解决分类问题，可以给大家提供两种编程思路，亲测有效。(BP neural network based on optimization algorithm, used to solve classification problems, can provide you with two programming ideas)

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)

说明：  经典差分进化算法的MATLAB代码 毕业设计专用 每代的收缩代码 又要的请下载 求过(Classical differential evolution algorithm graduated from the MATLAB code design dedicated each generation of contraction of code have to download the begged)