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DHMM问题3matlab实现，即给出训练数据，求解（A，B,pi）(Implement of DHMM，i.e，given training data ,estimate (P,Q,pi))

这对于计算chut chutiye的摩擦力是一个很好的选择(this is a nice for calculating the friction of chut chutiye)

说明：  auv滑模平移运动控制器及其simulink实现(AUV sliding mode translational motion controller and its Simulink implementation)

基于matlab编写了SQP法，乘子法，共轭梯度法，拟牛顿法，信赖域法，最速下降法与牛顿法的最新程序，功能很强大，可供编程参考。(Based on the preparation of MATLAB SQP, multiplier method, conjugate gradient method, quasi-Newton method, trust region method, steepest descent method with the Newton-Raphson method the latest procedures, functions very powerful, can be used for programming reference.)

Orbita.m Programa para dibujar un periodo de la orbita de un satélite apartir de los parámetros orbitales Programado a partir de la hoja TUNDRA2.pdf Ramon Martínez, 20-12-2006 Parámetros k=398613.52 en (km^3)/(s^2) Re = 6377 km h=814.5 a=Re+h e=0 OmegaRot=0.9856 º /day n = sqrt(k/(a^3)) p = a*(1-(e^2)) J2=0.00108263 cos_i = OmegaRot*(-2/3)*(1/J2)*(1/n)*((p/Re)^2)*(pi/180)/(24*3600) i = acos(OmegaRot*(-2/3)*(1/J2)*(1/n)*((p/Re)^2)*(pi/180)/(24*3600))*(180/pi)

configuracion de archivos docsis

基于MATLAB的非线性薛定谔方程求解，文献资料(matlab to solve NLSE)

说明：  边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)

应用遗传算法与类神经网络于混沌系统之辨识.pdf(application of genetic algorithms and neural networks in the chaotic system of identification. Pdf)

Histogram Equalization for enhancement of medical image