tdh

gui matlab, very good matlb code for gui with matlab m- file

关于pscad下的一个逆变器spwm仿真，有波形和参数设置，值得一看。(this is good file)

支持向量机是用于分类与回归的技术。由于其自身的诸多缺点，如无法获得概率输出，需要估计一个误 差参数C，以及必须使用Mercer 核函数等。相关向量机算法，克服了SVM 上述缺点，RVM 能获得与SVM 相比拟的推 广性能，并且更为稀疏。在此基础上，文中介绍了一种RVM 回归用于分类的新分类方法，用RVRC 来表示。并通过 实验证明了它的可行性。(Support vector machines for classification and regression techniques. Due to its many shortcomings, such as the probability that the output can not be obtained, need to estimate an error parameter C, and the need to use Mercer kernel function and so on. Relevance vector machine algorithm to overcome these shortcomings of SVM, RVM and SVM can be obtained comparable to promote performance and more sparse. On this basis, the paper introduces a RVM regression was used to classify new classification method, RVRC to represent. And through experiments proved its feasibility.)

多组分连续精馏的matlab程序（化工应用实例），可参考(Multicomponent continuous distillation matlab program (chemical application instance), refer to the)

研究了惠普忆阻器的电荷控制和磁通量控制模型构建了忆阻器的simulingk模型给出了相应的仿真结果．设计了一种基于matlab的图形用户界面能直观地展示忆阻器特性．通过该界面可以选择或设定输入电压的类型参数及忆阻器模型的参数简单方便地观察对应的输出结果(Studied the HP memristor charge control and flux control model constructed memristor simulingk model gives the corresponding simulation results. Designed a graphical user interface based on matlab can visually show memristor properties. The interface can be selected via the parameter or parameters to set the type of the input voltage and the memristor model is easy to observe the corresponding output)

脉冲压缩雷达的优点是能获得大的作用距离和具有很高的距离分辨力。(The advantage of pulse compression radar is that it can obtain large range of action and have high distance resolution.)

Solving knapsack with MATLAB

说明：  matlab的代码关于fft的仿真程序,直接的出波形(fft matlab code on the emulator, directly from the waveform)

acquisition Galileo E1 acquisition Galileo E1 acquisition Galileo E1

An implementation of Horn-Schunck optical flow method for 3-D images(This is an implementation of Horn-Schunck optical flow method for three dimensional images. A demo with test dataset is given.)