20090402_4479043_0

<最优化及matlab的应用>课后题的编程(Most optimized operating)

A very useful display covering important aspects of RADAR

通过M atlab 模拟了随机产生的一定概率分布的信号序列, 叠加高斯噪声后利用最大后验概率(MAP)检 测到的误码率, 做出BER~ SNR曲线, 并与理论计算得到的曲线进行比较, 两者吻合.(M atlab simulated by a certain probability distribution of random signal sequence, use of superposition of Gaussian noise is the maximum a posteriori (MAP) detection to the error rate, making BER ~ SNR curves obtained with the theoretical curve of the combined fit.)

实现buffer.h中的各个缓冲类的函数 (Implementation of the various buffer buffer.h a function of class)

仿真排队论，统计不同话务量的情况下的阻塞率(Simulation of queuing theory, statistical difference in cases where traffic blocking probability)

说明：  这是一个c++实现的基本遗传算法 很好用的，只要按照提示输入数值区间就行了或者自己把那个函数改一下就可以做了。(c++ to achieve a good basic genetic algorithm used)

将一个m文件转成c /cpp文件并在VC中进行编译。这种方法有个烦人的地方，每次你都需要把matlab生成的一 大堆c和h文件考到vc中，比如我读入一副图片先做膨胀，再腐蚀，再进行小波变换，最后 显示。这样一个程序会生成大概150多个文件，每次都要拷贝这些文件很不方便。我试着用 了另外一种方法，可以简化这些工作。那就是不生成cpp文件交给VC去编译，而是直接在m atlab中生成一个dll交给VC去链接即可。这样无论matlab生成多少文件，都只需要拷贝三 个文件即可。 (m to a document conversion c/cpp files and compile VC. Such a method is a nagging place every time you need Matlab has generated a lot of c and h vc document examination, for example, I read a photo, first expansion, and corrosion, further wavelet transform, the last show. Such a procedure will probably generate more than 150 documents, each copy of these documents must be very inconvenient. I tried another kind of approach can simplify their work. It is not generating cpp documents to the VC to compile, but m atlab directly in the formation of a dll to the VC to link. No matter how many documents generated Matlab, only three need to copy documents.)

VC与matlab接口编程,matlab 强大的数学分析能力，结合VC强大的编程，那么接口程序如何编写就显得重要了。(VC interface with matlab programming, matlab powerful mathematical analysis capabilities, combined with powerful programming VC, then the interface program on how to prepare it is important.)

Jacobi calculations . it is used to calculate liner problem

Matlab教程第六章案例，时间序列分析与计量(Matlab Guide Chapter cases, time series analysis and measurement)