SAMPLE1.14

混沌时间序列预测(chaotic time series prediction)中的Volterra级数一步预测 、Volterra级数多步预测方法(Prediction of chaotic time series (chaotic time series prediction) in the prediction step Volterra series, Volterra series multi-step prediction method)

二级倒立摆的建模及仿真，有兴趣的可以下下来参考，本人水平不是很高，所以做的不是很好！(Double inverted pendulum modeling and simulation, are interested can refer to the next down, I am not very high level, it is not good to do!)

matlab GUI编辑的很好讲解，对初学者很有帮助的文档(matlab GUI，helpful to the newer)

说明：  该源码可以实现OFDM系统的比特加载和功率分配算法的仿真(The source code can be bit-loaded OFDM system and Power Allocation Algorithm for Simulation)

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):

ofdm basic description

fusion method for panchromatic images

对加拿大山猫捕获数量进行时间序列分析，建立自回归方程，并对未来的捕获数量进行了预测(To capture the number of Canadian lynx time-series analysis, since the regression equation, and the future was predicted to capture the number of)

blur removal from image

关于卡尔曼滤波的例子以及工具箱，经测试可以使用(Kalman filter on the example and tool kit, the test could be used)