Matlab2---Copy

说明：  这是一个机遇鱼群算法的节点部署源代码，对于研究鱼群算法的朋友有帮助，请大家参考。(This is an opportunity to fish the source code node deployment algorithm, the algorithm for the study of fish friends to help, please refer to.)

发送一个开放声音控制（OSC）的信息通过UDP连接 oscsend（美，路径） oscsend（美，路径，类型，arg1的，arg2的,...) oscsedn（美，路径，类型，[参数]） ü= UDP的对象与打开的连接。 路径=路径字符串 =同类型的参数类型的字符串， 支持： 我=整数 f=浮动 商S =串 每组空（忽略相应的参数） 余=脉冲（忽略相应的参数） T=真（忽略相应的参数） F=假（忽略相应的参数） 乙=布尔（不是官方：将参数为T/在F型） 不支持： b=一滴 参数=参数所指定的类型。 示例 ü=的UDP（ 127.0.0.1 ，7488） 的FOPEN（美） oscsend（ü， /测试 ， ifsINBTF ，1，3.14， 您好 ,[],[],虚假,[],[]) fclose（美） 如需关于振荡信息http://opensoundcontrol.org/。(Sends a Open Sound Control (OSC) message through a UDP connection oscsend(u,path) oscsend(u,path,types,arg1,arg2,...) oscsedn(u,path,types,[args]) u = UDP object with open connection. path = path-string types = string with types of arguments, supported: i = integer f = float s = string N = Null (ignores corresponding argument) I = Impulse (ignores corresponding argument) T = True (ignores corresponding argument) F = False (ignores corresponding argument) B = boolean (not official: converts argument to T/F in the type) not supported: b = blob args = arguments as specified by types. EXAMPLE u = udp( 127.0.0.1 ,7488) fopen(u) oscsend(u, /test , ifsINBTF , 1, 3.14, hello ,[],[],false,[],[]) fclose(u) See http://opensoundcontrol.org/ for more information about OSC.)

自编的遗传算法代码实际例子，比较简单，请多指教。(Practical examples of self genetic algorithm code, relatively simple, please enlighten.)

用于信道估计的LS算法仿真 我们对基于信道估计的训练序列进行了一个详细的研究，此种训练序列是用在中继节点的转接放大设计上。(we provide a complete study on the training based channel estimation issues for relay networks that employ the amplify-and-forward (AF) transmission scheme.)

说明：  将图片从Lab空间转换到RGB空间的Matlab文件 (transfer image from Lab to RGB)

卷积法实现数字全息的计算机模拟，效果不错。。。。。。。。。。。(Convolution digital holographic computer simulation, good results. . . . . . . . . . .)

支持向量机和主成份分析的人脸检测代码，适合初学者。(Face detection code support vector machine and principal component analysis, suitable for beginners.)

彩色图像变成灰色图像，并对其进行直方图分析，二维直方图分析以及二维直方图的OTSU处理(Color images into gray image and its histogram analysis, OTSU processing of two-dimensional and two-dimensional histogram histogram analysis)

单变量控制 PID控制 智能控制 徐丽娜(Single-variable control PID control intelligent control)

：提出一种基于独立成分分析（ICA）和位隙动态分组技术的超高频（UHF）射频识别（RFID）多标签防碰撞算法。利用ICA 算法实现多目标的同时识别，利用动态位隙标签分组保证阅读器同时读取的标签数少于或等 于其天线数，从而使ICA 工作于非欠定状态(A novel ultra high frequency (UHF) radio frequency identification（RFID）anti-collision algorithm based on independent components analysis (ICA) and dynamic bit-slot grouping technology was proposed. The ICA algorithm was used for identifying several tags simultaneously. The dynamic bit-slot tags grouping technology was used for ensuring the number of tags read by a reader at the same time was less than or equal to its antennas’ number, and enabling the ICA wouldn’t work in an underdetermined state. Theoretical analysis and simulated experimental results show that the tags identification rate of the proposed algorithm is far more than that of traditional stochastic or deterministic TDMA RFID anti-collision algorithms.)