decectSignalChange

qpsk调制解调 脉冲成型 信道噪声 抽样 检波(qpsk modem pulse shaping)

无线传感器定位算法，代码写在txt文件里面，需要请自行粘贴到MATLAB里(Wireless sensor location algorithm, code written in txt file inside, you need to paste it into your own in MATLAB)

clustering algorithms in matlab

说明 在此分类的PRJ我们试图通过分配给每个签名的两个不同的公司标识由一个特别号码提取水平和垂直扫描每幅图像矩阵。每个标志图片被截断成二进制后调整大小。这是由核心例行imcount.m，而主编testpng.m运行compelte测试结果显示出来。每个标识的痕迹便可以进一步处理像一个合适的神经网络学习，推理机等熵类分类指数使用的系统是更好的有关报告，从http://cag.dat下载的解释。 demokritos.gr/publications/TR2011-1.pdf。 该例程index0.m提取每个图像矩阵的行/列聚类分析，现在可以用来替换为最新版本的“cluster.m“另一包“DEC2NARY“我们Mathworks公司提供的帐户中。 MATLAB的MATLAB的版本7.4（R2007a）(Description In this prj we attempt to classify a number of Company Logos by assigning to each 2 distinct signatures extracted by a special horizontal and vertical scan of each image matrix. Each Logo picture is truncated to binary after resizing. This is done by the core routine imcount.m, while the main prog testpng.m runs a compelte test and displays results. Traces of each Logo could then be further processed by an appropriate learning system like a Neural Net, an Inference Engine, etc. The entropic-like index used for classification is better explained in the associated report downloadable from http://cag.dat.demokritos.gr/publications/TR2011-1.pdf. The routine index0.m used for extracting the cluster analysis of each image matrix row/col can now be replaced by a most recent version "cluster.m", contained in another package "DEC2NARY" available by our Mathworks account. MATLAB release MATLAB 7.4 (R2007a) )

steganografy using Least significant bit

16QAM的调制解调，基带星座图，调制解调之后星座图及比较(16QAM modem, baseband constellation map, after the modem constellation diagram and compare)

Code for counting number of pixels on the console using hello world.

最经典的ASTAR算法 很实用的 学机器人的可以进(The most classic ASTAR algorithm very practical learning robot can enter)

说明：  摘 要：0IE 问题是一个典型的优化组合问题，现在有很多解决的方法。本文针对遗传算法求解0IE 问题进行了研究，对 选择、交叉和变异算子进行了算法设计，最后在_ C- N软件上进行编程实现。结果表明，遗传算法在求解0IE 问题时具有 结果准确、收敛速度快等特点。 关键词：遗传算法；0IE 问题；最优化问题；_ C- N 软(Abstract: 0IE problem is a typical combinatorial optimization, there are many solutions. In this paper, genetic algorithm 0IE conducted a study on the selection, crossover and mutation operators of the algorithm design, and finally _ C- N software for programming. The results indicate that the genetic algorithm in solving problems with 0IE accurate, fast convergence and so on. Key words: genetic algorithm 0IE problem optimization problems _ C- N Soft)

AFSA_fxy是用人工鱼群算法（artificial fish swarm algorithm）解决二元函数寻优问题。文件打开后运行AFSA_fxy.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。(AFSA_fxy is (artificial fish swarm algorithm) to solve the optimization problem with a binary function AFSA. Run AFSA_fxy.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.)