matlab-code-about-laser2

[奥本海姆]数字信号处理(第二版),中文版，全书共十一个章节([Oppenheim] Digital Signal Processing (Second Edition))

关于matlab偏微分方程工具箱函数功能介绍，适用于matlab5.3以上版本。(on Matlab toolbox functions PDE functions, the matlab5.3 applicable to the above version.)

说明：  BP算法，关于神经网络反馈的算法，Matlab编写，内含数据文件，可直接运行(BP algorithm, on the neural network feedback algorithm, Matlab preparation, combustion data file that can be run directly)

matlab小波变换源代码，供广大研究者学习(matlab wavelet transform source code, for the majority of researchers to learn)

创建和编辑包 创建一个包需要指定： · 包的一个名字。 · 新包要求使用或链接的其他包的列表。 · 包编译时包含或绑定的单元文件的列表。包实质上是这些包含已编译.BPL功能的源代码单元的封装，包含（Contains）列表是想编译进包的定制组件的源代码单元放置的地方。一个包由C++源文件（.CPP）和扩展名为.BPK的工程选项文件定义。这些文件由包编辑器生成。 (Creating and editing package to create a package needs to be specified: a name of the package. The new package requires the use of or linked list of other packages. Compile a list of unit package that contains the file or binding. These packages contain essentially compiled. Source code package BPL unit functions, including (Contains) list is to source code modules compiled into the custom component package placed. A package of C++ source file (. CPP) and the extension. Engineering options file defines the BPK. These files are generated by the package editor.)

该算法利用演化博弈的思想进行多小区用户的资源分配，将小区重叠部分当做种群，种群中的用户进行演化博弈进行网络切换，基站为其分配子信道。本算法利用matlab进行仿真测试，仿真结果显示演化博弈能够达到稳定，提升系统吞吐量，在小区资源分配能够有一个很好的参考。不同于传统的资源分配方法，可以给出一个新思路(The algorithm uses the idea of evolutionary game to allocate resources for multi-cell users. The overlapping part of the cell is regarded as a population. The users in the population are handed over by evolutionary game, and the base station allocates subchannels to them. The algorithm is tested by matlab. The simulation results show that the evolutionary game can achieve stability, improve system throughput, and have a good reference for resource allocation in the cell. Different from the traditional method of resource allocation, a new idea can be given.)

决策树C4.5和CART算法的m源码 (CART decision tree algorithm C4.5 and the source m)

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows:

snake 模型的MATLAB算法。可用于图形轮廓识别等图像处理方面的领域。(active contour model developed by others.It can be used in line detection and motion tracking.If someone wants to use it,please get in tough with the developer.)

给出不同情况下单缝菲涅尔衍射的光强分布图和灰度图(The intensity distribution and grayscale map of single Ja Faye Nel diffraction under different conditions are given.)