ADVANCED-DIGITAL-COMMUNICATIONS--lab-manual

this program is fullorder design

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)

It is matlab coding.The coding is useful

聚类分析 matlab （track）( matlab （track）)

Bloom效果(附代码), 很酷的一个效果，效率不算高。互相交流一下。看看吧！(Bloom effect (with code), a cool effect, efficiency is not high. Exchange about. Let' s see it!)

说明：   计算群体感应模型的分叉图，直接描述模型随时滞变化的(Computing the bifurcation digram of quorum sensing and decribing the change with delay)

Gaussian process models for Bayesian analysis (for Matlab) V1.1.0(GPstuff toolbox is a collection of Matlab functions for Bayesian inference with Gaussian process models.The toolbox contains some of the recent developments in sparse Gaussian processes and in approximate inference.)

说明：  tytret for i am hasve to make these code it is very useful matlab code for induction motor simulation

汉明码（7，3）的matlab仿真，学习差错控制编码编码的入门经典(hamming (7,3)matlab simulation ,is a typical introduction of error control coding)

经典的Adaboost分类器训练过程详细的matlab代码解释，对做模式识别的人很有用(Classic Adaboost classifier training process explained in detail matlab code, to do pattern recognition is useful)