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说明：  无线通信工程仿真中用到的信道模型，适用于MIMO-OFDM仿真。(wireless communications engineering simulation used in the channel model, applied to MIMO-OFDM simulation.)

code for carlike vehicle

格型滤波器，抑制扩频通信中窄带干扰，此代码抑制一个单音干扰(Lattice filters, narrowband interference suppression in spread spectrum communications, the code to suppress a tone interference)

Program to simulate Rayleigh fading using a p-th order autoregressive model AR(p) according to Baddour s work: Autoregressive modeling for fading channel simulation , IEEE Transaction on Wireless Communications, July 2005.

The function of channel estimation is to form an estimate of the amplitude

bee colony optimization for tsp problem

说明：  mylsb.m是个非常完整的LSB密写源码并且密写和提取都在里面，图片我没上传，你只需要添加一个图片文件就可以了，记住图片必须是灰度图片，如果是RGB，我转换的代码也在里面很有意思哦。weipingmian.m是个提取图像位平面的程序，图片也是需要你自己加载，最后一个就是8*8块的图像DCT变换。(mylsb.m is a very complete source of LSB Steganography Steganography and extraction, and are on the inside, I did not upload pictures, you only need to add a picture file on it, remember the image must be a grayscale image, if it is RGB, I converted the code is also very interesting inside Oh. weipingmian.m is a program to extract bit-plane images, pictures, you also need to load the last one is 8* 8 DCT transformed image.)

这是基本的基因表达式编程算法的主程序，也可以直接调用(Gene expression programming algorithm main program can also be called directly)

本书附带光盘中包括了作者全书所有自己编写的算法对应的MATLAB的M文件。所有代码按照章节存放在各个文件夹下，如“第6章 无约束一维极值问题”文件夹下存放了本书第6章所有的算法程序代码。对于算法的程序代码，在光盘中存为同函数名的M文件，例如，minHJ.m表示用黄金分割法求解一维函数的极值的程序，依此类推。(The book contains CD-ROM, including all the M files of the MATLAB written by the author. All the code is stored in chapters under various folders, such as "Chapter 6 unconstrained one-dimensional extreme value problems" folder, all the algorithm code in Chapter 6 of this book. For the program code of the algorithm, the M file with the same function name is stored on the CD. For example, minHJ. M represents the program that uses golden section method to solve the extremum of one-dimensional function, and so on.)

Dan Simon, Training radial basis neural networks with the extended Kalman Filter, 2001. Article on RBF neural networks, with examples, source programs on Matlab