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从文件读取数据，matlab绘图，属性设置，标题，坐标轴，注释(Read the data, matlab graphics, property settings the file title, axes, comments)

输入年月日显示星期 输入年月日显示星期(输入年月日显示星期)

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):

说明：  基于地统计半变异函数的单Y拓阶程序,由MATLAB编写,调用定阶来确定拓阶数,调用拓阶来完成Y的拓阶,输出为M*N矩阵(Single Y statistical semi variation function extension order based procedures, prepared by MATLAB, call order to determine the extension order number, call the extension order to complete the Y extension of the order, the output for the M*N matrix)

岩石物理模型建模的另一种方法，同样可以翻译弹性参数与物性参数间的关系。(Another method of rock physics modeling, the same can translation parameters and physical parameters of elastic)

NICAM就是双声道数字声技术，其应用范围及其广泛，最典型的应用便是电视广播附加双声道数字声技术，利用它进行立体声或双语广播，以充分利用电视频道的频谱资源。(NICAM728-digital two channel sound for terrestrial television)

Simulink在直接扩频通信系统中的应用，对于系统地描述清晰(Simulink in direct spread spectrum communication systems, the application for the system to clear description)

image classification using SVM

说明：  肌电信号高低滤波算法与50Hz陷波器算法，仿真已通过(The EMG high-low filter algorithm and 50Hz notch filter algorithm have been simulated.)

此代码为维纳滤波恢复模糊图像matlab代码，基于matlab Demo改编，注释较详细，适合初学者学习维纳滤波使用(the code is designed for recovering image by Weiner filter,it is benefitial for new user of matlab or new student for Weiner filter)