process

脑机接口支持向量机工具箱最新版本,在matlab下安装使用(brain-Support Vector Machine Interface Toolbox latest version of the Matlab installation)

自发辐射、受激辐射和受激吸收,激光二极管抽运的被动调Q Nd3+:YAG微晶片激光器仿真(Spontaneous emission, stimulated emission and stimulated absorption of laser diode pumped passively Q Nd3+: YAG microchip laser simulation)

灰色处理，预测模型，GM(1,1)一次累加(Gray processing, prediction model)

图像边缘平滑程序,有这个方向的专业人士,可以学习.具有较好的指导意义.(Edge smoothing procedures, professionals in this direction, you can learn. Have better guidance.)

自适应滤波的代码和文档，毕业设计论文以及用户文档(Adaptive filtering of code and documentation, graduation thesis design and user documentation)

地震属性信息包含了丰富的信息，地震属性种类繁多，程序里包含了四种常用的地震属性(Seismic attribute information contains a wealth of information, a wide range of seismic attributes, the program includes four commonly used in seismic attributes)

说明：  求解方程-u"(x)+u(x)=exp(x)*(sin(x)-2*cos(x))两点边值问题(Solve the equation-u &quot (x)+ u (x) = exp (x)* (sin (x)-2* cos (x)) Boundary Value Problems)

THE ABOVE PROGRAM IS A GUI FOR SUPER RESOLUTION TECHNIQUE.

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

拟牛顿法的matlab应用，提供matlab程序，数值分析核心方法(Quasi-Newton method matlab applications, providing matlab program, the core numerical analysis method)