Assignment1_Part2Q1

说明：  用MATLAB实现的QPSK调制和解调程序。(Using MATLAB to achieve the QPSK modulation and demodulation process.)

根据BCH码的编译码原理，用matlab实现的BCH码编译码，并进行误码率分析。(According to the principle of BCH code ，the program will realize the encodeing and decoding of BCH code，the analysis of BER.)

预测控制的两个实例，用M语言编写，希望对学习预测控制的人有多帮助(Two examples of predictive control, the M language, in the hope that people learn how predictive control to help)

基于傅里叶变换的数字水印算法，在原始图像的傅里叶变换域中对称的嵌入数字水印信息(Fourier transform-based digital watermarking algorithm, the original image of the Fourier transform domain, the embedded digital watermark information symmetry)

仿真滚降系数为0.22的平方根升余弦滤波器.m(Simulation of roll-off factor of 0.22 square root raised cosine filter. M)

Originator, This code contain implementation of originator

一个matlab 程序建立的一个船的 模型。3自由度。封装好的输入输出。包含水动力系数。(a mariner made by matlab.)

Addison Wesley出版的一本深入讲解c++面向对象编程机理的书，对于c++程序员进一步全面了解面向对象机制的好书。书中有丰富的程序实例和解读。英文版(Inside the C++ Object Model focuses on the underlying mechanisms that support object-oriented programming within C++: constructor semantics, temporary generation, support for encapsulation, inheritance, and "the virtuals"-virtual functions and virtual inheritance. This book shows how your understanding the underlying implementation models can help you code more efficiently and with greater confidence. Lippman dispells the misinformation and myths about the overhead and complexity associated with C++, while pointing out areas in which costs and trade offs, sometimes hidden, do exist. He then explains how the various implementation models arose, points out areas in which they are likely to evolve, and why they are what they are. He covers the semantic implications of the C++ object model and how that model affects your programs..)

对三种不同数值的RCS和雷达峰值功率，SNR相对检测距离的曲线。(RCS and radar peak power for three different values ​ ​ of the the SNR relative detection distance curve.)

Kalman滤波在测量方差已知的情况下能够从一系列存在测量噪声的数据中，估计动态系统的状态(Kalman filter can be used to estimate the state of a dynamic system from a series of data that has measurement noise)