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利用matlab软件，用m文件实现信号的psk调制解调。(Using matlab software, with the realization of m document psk modem signals.)

运行程序得到微分方程中x1随参数omega变化的分岔图。omega的范围选取可以调节。(Run the program to be differential equations with parameters x1 bifurcation diagram omega changes. omega scope of selection can be adjusted.)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)

3个matlab原程序文件，包括： 1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇 (three Matlab original files, including : 1-32 : Graphics Applications articles 33-66 is : interface design articles 67-84 is : graphics processing Chapter 85-100 is : Numerical Analysis Section)

汉明码，信息论与编码，74系列 的 故意结果iu(hanming just it ahya hah)

Start with the runlocalization track.m which is the entrance function to your lab. This function reads two les determined by simoutle and maple input arguments which contain information about sensor readings and the map of the environment respectively, runs a loop for all the sensor readings and calls the ekf localize.m to perform one iteration of EKF localization on the readings and plots the estimation(red)/ground truth(green) and odometry(blue) information.(This lab consists of two parts: 1. A preparatory case study with a standard Kalman lter where you learn more about the behavior of the Kalman lter. Very little extra code is needed. 2. The main lab 1 problem in which you need to complete an implementation of an Extended Kalman lter based robot localization.)

说明：  一个在智能天线技术里的波束形成算法(A smart antenna technology in the beamforming algorithm)

Matlab code of Zero Forcing Symbol Space Equalizer using MMSE

说明：  极化SAR图像分类数据，数据为T矩阵，为原始数据部分图像，包括free分解后数据以及各分量数据(Polarization SAR image classification data, data for the T matrix, part of the image to the original data, including the breakdown of free data and each component of the data)

一次可靠度的HLRF算法。随机向量的概率模型采用Nataf分布，考虑变量相关性。验算点搜寻采用U空间的梯度迭代算法。(This is a first-order reliability method based on HLRF algorithm. A multivariate distribution model,Nataf model,is used to generate the random variables. To search the design point in indenpent standard Gauss space, a kind of gradient iterative algorithm is adopted.)