uvm-1.2.tar

说明：  自己写的CMAC 小脑神经网络逼近非线性函数(Write your own CMAC CMAC approximate nonlinear functions)

数字水印lsb算法。matlab实现。空域算法，替换各像素最低位，不可见性较强，适用于脆弱水印。(Lsb watermarking algorithm. matlab implementation. Airspace algorithm, replacing the lowest level of each pixel, invisible and strong, suitable for fragile watermarking.)

Wind Turbine Crowbar Reliability Related on Electric Charge Accumulation/Discharge

1 chaos_draw_GCM.m 基于最大标准差绘制的大域耦合相图（GCM）；2 chaos_GCM.m 特定参数下的大域耦合状态变量的值的时域及频域图； 3 chaos_simple.m 混沌对初始条件敏感的实验； 4 ICAS.m ICAS系统的评价数据处理； 5 julia.m 朱莉娅集的绘制； 6 logistic.m 逻辑斯蒂克集的稳定点关于参数u的分布(1 chaos_draw_GCM.m drawn based on the maximum standard deviation of the big field coupling phase diagram (GCM) big field coupling state variable 2 chaos_GCM.m special parameter values ​ ​ in the time domain and frequency domain 3 chaos_simple.m Chaos sensitive to initial conditions experimental evaluation data processing 4 ICAS.m ICAS system draw 5 julia.m Julia sets stable point 6 logistic.m logic Si Dike set of parameter distributions u)

卡尔曼算法在通信过程系统辨识中的应用的典型案例(Kalman algorithm in the system Identification )

粒子群算法初步讲解，粒子群算法分类，标准粒子群算法的实现(Preliminary analysis of particle swarm optimization)

磁力计校准的MATLAB程序，使用球体拟合，最优化参数设计(Magnetometer calibration MATLAB program, using sphere fitting, optimal design parameters)

许多工程软件需要用到复杂的数学算法。VC++能够形成各种用户界面， 并可以直接与系统及底层硬件交换数据。因此研究VC++和Matlab 的混合编程具有很大的实际意义。该文讨论了如何使用Matlab 的Complier 将*.m函数编译为动态链接库DLL， 提供给VC++调用的方法， 提供了一种VC++与Matlab 混合编程的快速实现。(Many engineering software need to use complex mathematical algorithms. VC++ can form a variety of user interface, and can directly exchange data systems and the underlying hardware. Therefore, VC++ and Matlab of mixed programming of great practical significance. The article discusses how to use Matlab' s Complier to*. m functions compiled as dynamic link library DLL, VC++ provided to the invoked method, provides a mixed VC++ and Matlab programming fast implementation.)

实现AMI编码波形，以及 计算其功率谱。(AMI coding waveform to achieve, and to calculate the power spectrum.)

针对实际工业生产中常见的多输入多输出时滞过程, 构造多变量Smith预估控制结构, 提出基于对象模 型伴随矩阵的解耦器设计方法. 通过对解耦后对象的幅频和相频特性分析, 获得对象的简化一阶数学模型. 根 据Smith预估控制结构闭环特征方程的特点, 利用Butterworth滤波器极点配置的原理, 对解耦后的多变量时滞过程 设计PI控制器. 结合实际过程中常见的不确定性, 分析了控制系统保证鲁棒稳定性的充要条件. 最后以实例验证了 本文所提方法的优越性.(The decoupling Smith control method is presented for multi-input-multi-output system with time-delays which are often encountered in practical engineering. A new method for designing the decoupler based on the adjoint matrix of the multivariable system model with time-delays is proposed. By analyzing the amplitude-frequency and phasefrequency characteristics of the decoupled model, the decoupled model is reduced to a first-order model with time-delay. According to the closed-loop characteristic equation of Smith predictor structure, a PI controller is developed by using the principle of pole assignment for Butterworth filter. Sufficient and necessary conditions for robust stability are derived for adaptive and multiplicative uncertainties commonly occurred in practice. Simulation results show the superiority of the proposed method.)