Simulink

一个基于阈值的粒子比较准则，用于处理多目标约束优化问题,该准则可以保留一部分序值较小且约束违反度在允许范围内的不可行解微粒,从而达到由不可行解向可行解进化的目的；一个新的拥挤度函数,使得位于稀疏区域和Pareto前沿边界附近的点有较大的拥挤度函数值,从而被选择上的概率也较大 从而构成解决多目标约束优化问题的混合粒子群算法。(A comparison based on the threshold criteria for the particle to handle multi-objective constrained optimization problem, part of the guidelines can keep order value is small and the constraint violation in allowing infeasible solutions within the particles, so as to achieve a feasible solution to the infeasible solution The purpose of evolution a new function of crowding, making the Pareto front in the sparse region and near the border points have a greater value of the congestion function, which is the larger the probability of selection so as to constitute solve multi-objective constrained optimization problems hybrid particle swarm algorithm.)

真對freecale的Imax31的hotkey事件控制,知道如何去控制(for hotkey event control of IMAX31 of CPU of freescale)

Matlab数字信号处理与应用源代码，这是一本书上的关于matlab的源代码，对于学习小波变换的初学者可以参考一下啊。(Application of digital signal processing and Matlab source code, this is a book on matlab source code for beginners to learn on wavelet transform for reference ah.)

使用matlab编程，讨论二分图的最大匹配和最优匹配(Using matlab programming, discussing the maximum bipartite matching and optimal matching)

说明：  此程序为基于MATLAB的菲波拉契数列、黄金分割算法(Fibonacci series algorithm Appalachian)

该程序是关于参数化功率谱估计，这些源程序是经过验证的，很好使用(The program is about the parametric power spectrum estimation, the source is a proven, well used)

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)

DNA序列分析，dna聚类软件，层次分析法MATLAB程序(DNA,MATLAB)

finite difference method with Crank-Nikolson approach(SOR) for American call option

基于CCD图像采集系统的处理和研究，研究CCD的文章，不错(CCD image acquisition system based on the treatment and research, research articles CCD, it is true)