NewFolder(2)

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):

kalma fileter programme to test

通信导航设计相关问题解答，包含了滤波器设计和信号处理的相关流程(Communication and navigation design-related questions, including the relevant processes filter design and signal processing)

数值积分中matlab的实现，其中包括拉格朗日插值、辛普森插值等基本算法。(Numerical integration in matlab realization, including Lagrange interpolation, Simpson and other basic interpolation algorithm.)

基于capon的谱估计，关于DOA的算法，可用(Capon based spectral estimation algorithm on DOA, the available)

船舶MMG模型源码，运用动态仿真方法，模拟出船舶航行所形成的旋回圈(Ship the MMG model of source code, the use of dynamic simulation methods, simulation cycles circle formed by a ship sailing)

OFDM技术做为4G的关键传输技术，得到了广泛重视。本matlab文件为适合于OFDM系统的动态子载波分配算法。目的是提高频谱使用效率。(dynamic sub-carrier allocation(matlab))

The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1 The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. (The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1985. The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. )

说明：  压缩采样，基于乃奎斯特采样，压缩编码，变换编码(compressed sampling)

做实验时找到的K-SVD算法的Matlab代码，很好用,有需要的可以下载下来一起研究下(When doing experiments to find the K-SVD algorithm Matlab code, easy to use, there is a need to study together can be downloaded under)