Lyapunov

说明：  对于全方位的识别和优化做了很详细的分析程序处理和样本对照(For the full identification and optimization of doing a very detailed analysis of the samples were processed and)

full implementation to LDA with Minumum distance Classifier for face recognition and easy to implement.

粒子滤波的经典例程，MATLAB环境。好好理解其思想，对于其它环境下粒子滤波程序的编写也是很有好处的！(paticle filter!quite classical codes!)

matlab曲面拟合程序源码，能能的到函数具体解析式 (matlab surface fitting program source code, can be able to function analytic expression)

采用UKF滤波器的SLAM算法matlab实现，研究机器人的可以作为参考。(used UKF SLAM filter algorithm Matlab realized, the robot can study as a reference.)

验证SVM中惩罚系数C与高斯核宽度系数g对于其分类性能的影响(Test the penalty parameter C and the the gaussian kernel factor g for classification influence of SVM )

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

通信专业的经典电子书，包括各种调制方式，OFDM、CDMA等典型系统和关键技术介绍，每部分内容附有matlab程序，讲解详细，值得珍藏！(Simulation and Software Radio for Mobile Communications)

牛顿环演示的MATLAB程序，采用滑动块改变参数，可视化输出，GUI界面(Newton s rings shows the MATLAB program, using the sliding block to change the parameters, visual output, GUI interface)

说明：  matlab编译知道，包括matlab的很多编译器(Matlab Compiler 4 Guide)