jingtongmatlabzuiyouhuazidaichengxu

LSVMK Langrangian Support Vector Machine algorithm LSVMK solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation.

关于基于解相干的MUSIC的源程序，分别列出Toeplitz,矩阵分解，奇异值分解等情况~~~(ABOUT MUSIC based decorrelation of the source, respectively, which are listed several possible scenarios ~ ~ ~)

matlab gui编程 实现调用sin函数和cos函数(matlab gui)

利用目前风力机叶片设计普遍采用的优化设计方法Wilson设计A-法，通过MATLAB编程，开发了小型叶片气动设计的应用程序，并利用该程序设计了一台3kW小型水平轴风力机叶片。采{用MATLAB和ANSYS共同建立了风力机叶片三维有限元参数模型，MATLAB编制的建模程序提高了{初期设计效率，缩短了ANSYS分析前处理时间。在此基础上进行了叶片固有振动特性计算，分析了叶《片的振动特性及其与结构参数之间的关系，分析方法和结果对风电叶片的结构设计和动力分析有一定；的参考价值。(Advantage of the current design of wind turbine blades commonly used in optimal design method Wilson designed the A-Law, MATLAB programming, developed a small blade aerodynamic design application and use of the program designed a 3kW small horizontal axis wind turbine blades. Mining {using MATLAB and ANSYS common parameter model of wind turbine blades dimensional finite element modeling program MATLAB prepared the {initial design efficiency, shortening the ANSYS analysis of the pre-treatment time. On this basis, the natural vibration characteristics of leaves, the relationship between leaf on vibration characteristics and structural parameters, analytical methods and the results of analysis has some structural design of wind turbine blades and power reference value.)

dijksra的算法程序，在matlab里就可以用了，是M文件的。(algorithm program dijksra, can be used in matlab M-file.)

在matlab中实现峰值信噪比的函数 function y=psnr(im1,im2) 计算峰值信噪比程序——————————————— - ininput im1 : the original image matrix (For peak signal to noise ratio in matlab function function y = psnr (im1, im2) calculated PSNR program)

segmentation tools for segmention lazy snaping

Kullback-leibler divergence

说明：  测试高速旋转物体的速度并报警。程序用高数计数器计数，中断来准确计算速度(Testing high-speed rotation speed of an object and alarm. Program counter with the high number of counts, interrupt to accurately calculate the speed of)

用MATLAB编写的一些数字信号处理的实验。(Written some of the digital signal processing using MATLAB experiment.)