nonlinearnewmark

本书以MATLAB 7为版本，由浅入深地介绍MATLAB的工作环境、基本语法、数值运算、符号运算、二维和三维图像创建与编辑、高级图形图像处理、句柄图形、图形用户操作接口（GUI）、程序设计与调试、M文件的使用、MATLAB编译器、Simulink交互式仿真集成环境的应用，以及MATLAB的外围功能和应用程序接口等内容；并通过MATLAB在高等数学、信号处理及数字通信、数字图像处理方面的应用，介绍MATLAB在实际中的应用。(Book MATLAB 7 to version, it gradually introduces the MATLAB environment, basic grammar, numerical computation, symbolic computation, two-dimensional and three-dimensional image creation and editing, advanced graphics, image processing, handle graphics, graphical user interfaces operate (GUI ), program design and debugging, M file usage, MATLAB Compiler, Simulink simulation integrated environment for interactive applications, and MATLAB peripheral functions and application programming interfaces, etc. and through MATLAB in advanced mathematics, signal processing, and digital communications, digital image processing applications, the introduction of MATLAB in practical application.)

cognitive Radio simulation in matlab thanks

请点击1.m运行文件（运行环境为matlab2008a） 注：不可直接运行1.fig 需使用1.m文件 附：输入各设备及物流量子窗口参数信息说明：请依次输入该零件所需的设备号，两个y设备号之间填入这两个设备间的物流量，例如一个零件需要的设备一次为3，5，7，其中3和5的物流量为10，5和7的物流量为20，则应按如下的格式输入3，10，5，20，7。只需输入数字即可，无需输入标点符号。且零件的排序为最下面的一行为零件1，向上依次递加。">

一种在matlab平台上运行的语音情感识别方法基于神经网络，(Speech emotion recognition method neural network)

FASTICA_2.5 ,独立主成分分析(FASTICA_2.5, independent principal component analysis)

单摄像机无接触式测量源码与论文分析，主要的变换为霍夫变换(Non-contact measurement of single-camera source and paper analysis, the major change for the Hough Transform)

SC_FDMA(Single-carrier Frequency-Division Multiple Access)仿真(SC_FDMA(Single-carrier Frequency-Division Multiple Access) simulation)

基于FCM的图像分割算法，先对图像平滑，然后利用FCM对像素聚类，实现对图像的分割。(A methord based on FCM for image segmenting,firstly,using filter to smooth the image and the use the rule of FCM clustering pix finshing image segmention)

本书纤细介绍了什么是S函数，以及如何编写S函数和注意事项，另外给出了一些实例(This book describes what S function, and how to write S function and attention, in addition gives some examples)

采用粒子群矢量量化算法生成图像矢量量化的最优码书，可以任意设定种群数与迭代代数。程序结果产生最优码书与平均误差。(Vector quantization using particle swarm algorithm for optimal image vector quantization code book, can set the number of stocks and iterative algebra. The results of the proceedings arising from the optimal codebook with an average error.)