Matlab1

AR模型的Burg算法的matlab程序! 只要把程序里面的K的值改为所求问题的阶次，把x改成所求问题的数据矢量就可以非常方便的求出Burg算法的AR模型的参数！(AR model of Burg algorithm matlab program! As long as the procedures inside the value of K changed the order for the problem, the problem for x into the vector data can be very convenient Burg algorithm to derive the parameters of AR model !)

用matlab实现了图像通信中的方块编码，并针对不同的块大小与压缩比进行了比较。(Matlab realize image communication with the block coding, and for different block sizes and compression ratios are compared.)

说明：  images of plate so as to create a database of templates

The folder contains programs i have written for my project and in college..

file is containing the exponential distribution and random numbers

基于Matlab软件中的优化算法和优化工具，针对风力机翼型通用型线集成表达式建立了优化数学模型。以风力机翼型的最大升阻比为优化设计目标函数，翼型形状控制方程的系数为设计变量，翼型的厚度和弯度为约束条件，设 计得到了相对厚度为18％的风力机翼型，并对其性能进行了计算分析。研究结果拓宽了风力机叶片翼型的设计思路和设计方法。(Based the Matlab software optimization algorithm and optimization tools for the integrated expression of the general profile of the wind turbine airfoil optimization model. Wind turbine airfoil maximum lift-drag ratio for the optimal design objective function coefficients of the equation of the airfoil shape control as design variables, airfoil thickness and curvature constraints, the design has been the relative thickness of 18 of wind turbine airfoil , and its performance is calculated and analyzed. The findings broaden the wind turbine blade airfoil design ideas and design methods.)

bch编译码仿真程序。信息符号15bits，码字符号11bits。(bch decoding simulation program. Information symbols 15bits, code word symbols 11bits.)

通过一个数字信号功率谱分析程序设计的实例，详细地介绍了Visual c++和Matlab通过 engine引擎接口进行混合编程的技术，在信号处理的软件开发中采用这种方法可以提高软件开发 的效率和可靠性。(Digital signal through a power spectral analysis of programming examples, detailed description of the Visual c++ and Matlab engine through the engine mixed programming interface technology, signal processing in software development this approach can improve the efficiency of software development and reliable sexual.)

This demo explains the use of the advanced object oriented interface model. The model is the generic object which collects all relevant signals, parameters, options and functions related to an application of the LS-SVM. This interface is depreciated for the casional users because of the implicit nature: the distinction between in- and output vanishes. If one wants to use the full power of LS-SVMlab, one is recommended to go through this demo. The options can be divided in 5 classes, the general LS-SVM options the trainpoint administration, the options of the Conjugate Gradient algorithm the preprocess options and the encoding options. The demo shows how to control the preprocessing and the coding using the appropriate model. It is adviced to check carefully the model s options before starting the calculations.

Nonparametric Genetic Clustering