matlab-example

计算Erlang B,C 模型中阻塞率与输入负载随服务器数量变化的数值关系并绘图。 模拟一个M/M/k排队系统。 该资料为通信系统排队理论matlab实验内容。(Using the iterative scheme, calculate the blocking probability of the Erlang B and C model. Draw the relationship of the blocking probability and offered traffic while sever number varies. Simulate a M/M/k queue system with input parameters of λ, μ, k)

说明：  系统辨识工具箱, 使用命令行估算线性模型(system identification toolbox)

用matlab编写了一个，信源产生经过BPSK调制以及根号升余弦滤波器后再加上载波最后将波形图输出的程序(Using matlab prepared a source after BPSK modulation, as well as the square root raised cosine filter and then with the carrier waveform graph output of the program)

这是东南大学信息科学与工程学院《数字信号处理 第二版》第四章的实验，关于IIR 滤波器的( This is the School of Information Science and Engineering, " Digital Signal Processing Second Edition" Southeast University experiment of Chapter IV, on IIR filters)

It is the algorithm for energy detector in WRAN.

scatter plot by using matlab also fuzzy C mean

天在维普下载了一篇SPIHT算法改进的论文，（耿兴云，《基于改进SPIHT的静态图像编码》，电脑知识与技术：学术交流-2007年5期），我根据该文提出的改进算法，用Matlab来实现，却发现改进算法的程序运行速度比原算法还要慢，希望有兴趣的朋友进来看看，评论一下原因。(Days in the VIP downloaded a SPIHT algorithm to improve the paper, (Gengxing Yun, " based on improved SPIHT still image coding," Computer Knowledge and Technology: 5-year academic exchange-2 007), in accordance with this paper the improved algorithm Matlab to achieve, but found that the improved algorithm runs faster than the original algorithm is also slow, hope to have interested friends come to see, comment on why.)

很经典的蚁群算法的matlab源码，也可以用c++实现，不过要复杂很多，用matlab比较简单。(classic ant colony algorithm source Matlab can also use the c achieve, but many complex, Matlab using relatively simple.)

对微波基础理论的Matlab仿真。对于微波初学者有借鉴作用。程序补充(based on microwave theory of Matlab. Microwave for a beginner lessons. Supplementary procedures)

由于显卡或者显示器的原因会出现实际输出的图像在亮度上有偏差，而Gamma曲线矫正就是通过一定的方法来矫正图像的这种偏差的方法.(Or because of the graphics display image will appear in the actual brightness of the output deviation, the Gamma correction curve is corrected by a certain method to the method of this bias image.)