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Multiple kernel learning is a model to merge multiple kernels by linear combination. Mostly solving the models are slow due to explicit computation of kernels. Here, we propose to approximate kernel map function explicitly in finite dimensional space. Then, we use dual coordinate descent to solve the SVM. By storing the solutions in primal, we do not have to compute the kernel explicitly. A group lasso regularization on kernel weights is solved with SVM alternatingly. This is a side-project in my research projects with Dr. Yi-Ren Yeh and Dr. Frank Wang in Academia Sinica.

介绍了卡尔曼滤波器的原理，附带了卡尔曼滤波器的m程序(Introduced the principle of the Kalman filter, Kalman filter with a program of m)

利用music算法进行仿真模拟，使其得出正确结果(Simulation algorithm using music to make it reach the right result)

电力系统潮流IEEE算例大全，有详细说明文档(Power flow IEEE examples Daquan, detailed documentation )

连杆仿真GUI，机械专业的毕业设计，可以参考下(The connecting rod of GUI simulation, the graduation design of mechanical major can refer to the next)

gui编程中有用的几个程序段，值得借鉴学习学习(Several useful gui programming block, is worth learning learn)

ECONOMIC LOAD DISPATCH WITH NUMBER OF GENERATORS WITH PRODUCTION LEVEL AT DIFFERENT INTERVALS OF TIME.

在matlab环境下，控制系统设计实验中的，bode校正原理(In the matlab environment, control system design experiment, bode correction principle)

乘幂法的MATLAB程序，基于数值分析中乘幂法的基本原理，相关的在注释中有详细说明。(power method)

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