MATLABApplication

跳频信号是新的通信与雷达信号的一种，其保密性强，不易受噪声干扰，但解调复杂。本程序给出了高斯白噪声情况下调频信号的模拟过程，供通信和雷达专业的师兄弟参考。这是本文论文一部分的程序(FH signal is a new kind of communications and radar signals, and its confidentiality, less susceptible to noise interference, but the demodulation complexity. This procedure gives the Gaussian white noise process of FM analog signals for communication and radar fellow professional reference. This is a part of this thesis, the procedures)

这是一个用matlab编的卡尔曼里滤波程序。非常好用，希望大家能够用到。(This is a series with matlab ri Kalman filtering procedure. Very easy to use, hope that we can use.)

接受信号协方差矩阵估计的mvdr自适应算法。 方向图方针效果图(Receiving the signal covariance matrix estimation mvdr adaptive algorithm. Pattern renderings policy)

gibbs算法示例，在统计学和统计物理学中，gibbs抽样是马尔可夫链蒙特卡尔理论（MCMC）中用来获取一系列近似等于指定多维概率分布（比如2个或者多个随即变量的联合概率分布）观察样本的算法。(Example of Gibbs algorithm)

运用幂法求解矩阵的最大特征值、特征向量、一致性指标和随机一致性比率。 (Using the power method to solve the largest eigenvalue matrix, eigenvector, consistency index and random consistency ratio.)

说明：  模拟蚂蚁和食蚁兽的生存规律。在20X20的网格世界里，每个生物每次可向四个方向移动（但不会移除网格边缘），食蚁兽会吃掉在他目标处的蚂蚁(The goal for this programming project is to create a simple 2D predator-prey simulation. In this simulation the prey are ants and the predators are doodlebugs. These critters live in a world composed of a 20x20 grid of cells. Only one critter may occupy a cell at a time. The grid is enclosed, so a critter is not allowed to move off the edges of the world. Time is simulated in time steps. Each critter performs some action every time step.)

MATLAB语言常用算法程序集，包含基础的变成技巧以及数值算法，是很好的学习材料(Assembly algorithm used MATLAB language, including basic skills and become a numerical algorithm, is a very good learning materials)

画圆的算法，可用Matlab编程,也可用Mathematica软件编程(Circle algorithm the available Matlab programming, also be used Mathematica software programming)

factor of 32, with acceptable quality.What are the principles behind compression?A common characteristic of most images is that the neighboring pixels are correlated and therefore contain redundant information. The foremost task then is to find less correlated representation of the image. Two fundamental components of compression are redundancy and irrelevancy reduction. Redundancy

数论matlab例程，通俗易懂，简单易学(Number theory matlab routines, user-friendly, easy to learn)