MATLAB-Newton

Level Set水平集算法的matlab程序part 1（李春明版本）(Level Set Level Set algorithm matlab program part 1 (Li Chunming version))

Bimodal emotion recognition

L_D算法和Burg算法解Toeplitz矩阵并进行参数估计，并对信号的功率谱进行比较(Levinson algorithm and Burg algorithm )

EM算法和高斯模型的，用Matlab编程工具编写，实现功能快速(EM algorithm and the Gaussian model, using Matlab programming tools to write, to achieve rapid function)

基于dq0的异步电动机仿真模型及起动过程的仿真(Asynchronous motor in dq0 simulation model and starting process-based simulation)

说明：  选题二、基于matlab简单图像处理系统用中值滤波方法消除噪声(Two topics, based on matlab image processing system with a simple median filter to eliminate noise)

随机接入ALOHA协议，仿真其吞吐性能以及时延性能。(ALOHA random access protocol, the simulation of its throughput performance and delay performance.)

VC运算速度较快，相对于matlab而言，编程较为烦琐，而matlab编程灵活，并且方很多工具箱，使用极为方便，但是matlab的M语言编写的仿真程序的仿真速度相对较慢。 C-MEX函数是基于C语言编写的C与matlab接口函数，是matlab应用程序接口的一个重要组成部分。通过它不但可以将现有的C语言编写的程序轻松地引入到matlab环境中使用，避免了重复的程序设计，而且可以使用C语言为matlab定制用于特定目的的函数(如为了保护算法设计等)， 以完成在matlab中不易实现的任务。此外，更重要的一点，使用C语言编写的C-MEX函数可以有效地提高M灯matlab环境中数据处理速度和效率。 (VC computing faster, compared to matlab, the program is more cumbersome, but matlab programming flexibility, and a lot of side toolbox, use very convenient, but the M-language matlab simulation program written in a relatively slow simulation speed. C-MEX function is based on the C language interface written in C and matlab functions matlab application interface is an important component. It can not only be through the existing programs written in C language easily introduced into the matlab environment, to avoid the duplication of programming, and can be customized using the C language for matlab functions for specific purposes (such as algorithm design, etc. in order to protect ), Matlab in order to complete the task is not easy to achieve. In addition, more importantly, the use of C language written in C-MEX function can effectively improve the M light matlab environment, data processing speed and efficiency. )

用于支持向量回归分析 将数据分类 使用matlab运行环境(For support vector regression analysis of data classification using matlab runtime environment)

GUI de matlab para sonido