asfig02

matlab 卷积码的仿真 很好很实用 经过了测试的(matlab simulation of convolutional codes is very useful after a good test)

关于排队模型的资料整理，很全面，应用到很多方面，欢迎下载~~~(A lot of materials about queue model, very useful, and they are many applications, welcome to download. )

HORN ANTENNA FDTD CODE IN MATLAB 2D STRUCTURE

虚拟MIMO天线的波束成形，可以仿真，有用，多初学者有帮助(Virtual MIMO beamforming antennas, can be simulated, useful, and more help for beginners)

这个工具是同伴的图书软件的复杂性管理的模糊系统 ，斯普林格，2010。 一个新的规则为基础的系统类型，称为规则为基础的网络，已与行动建议操作规则库的互联网络，形成一个等效的单规则库。这些行动最近已实现为基于Matlab工具箱，但仅限于个人使用的节点对。此工具自动执行正确网络中的所有节点的基本操作。该工具会让你更容易实现用尽可能少的用户交互的各种规模的规则为基础的网络 (This tool is companion software for the book Complexity Management in Fuzzy Systems , Springer, 2010. A novel type of rule based system, called a rule based network, has been suggested with operations to manipulate networks of interconnected rule bases to form an equivalent single rule base. These operations have recently been implemented as a Matlab based toolbox, but are limited to individual use on pairs of nodes. This tool automatically performs the basic operations correctly on all nodes in a network. The tool will make it much simpler to implement rule based networks of all sizes with as little user interaction as possible. )

matlab小波工具箱,详细介绍了各种函数的使用方法(matlab wavelet tool kit.detail description of the wavelet using method.)

卡尔曼滤波的matlab程序 按照基本卡尔曼滤波算法编写(Kalman filter matlab program prepared in accordance with the basic Kalman filter algorithml)

对图像提取相应的特征点，并对特征点进行精简与描述，找到128维的描述子，并与另一幅图像的描述子进行比较，得到图像的匹配(Extract the corresponding feature point of the image, and the feature point streamline with the description, to find 128-dimensional descriptor, and compares with a description of the image sub-image matching)

语音信号分类。 本案例针对四类语音信号，用BP神经网络的方法进行分类。(Speech signal classification. This case for four types of speech signals, using BP neural network method for classification.)

matlab中fsolve语句数值效果较好，采用的解法是将方程组转化为最小二乘问题，调用指令lsqnonlin求解，所以，它参数的选取和优化指令的用法是一致的(matlab numerical results in fsolve statement better solution is to use the equations into a least squares problem, call the command lsqnonlin solution, therefore, it is parameter selection and optimization of instruction is consistent with the usage of)