feature

说明：  利用matlab程序对图像进行重建，扇束滤波反投影法图像重建(Fan-beam filtered back projection image reconstruction)

This function transforms a three-phase unbalanced phasor into its symmetrical components. The Three phasors can be expressed in a one column array in rectangular complex form or in a two column array in polar form, with 1st column magnitude and 2nd column phase angle in degree. The function returns the symmetrical components in rectangular form. The function plots the original unbalanced phasors and the symmetrical components.

Filter modeling using gravitational search algorithm

说明：  异步电机矢量控制程序，通过调节转矩，电机可以具有快速动态响应(By adjusting the torque, the motor can have fast dynamic response)

分数阶FOURIER 有关的一些简单程序(FRACTIONAL FOURIER some simple procedures for the)

matlab m语言的编程，包括m语言的编程基础，C语言转换和外部接口等(matlab m language programming, including m basics of programming language, C language conversion and external interfaces)

Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If a noise, its amplitude distribution obeys the gaussian distribution, and its power spectral density is uniformly distributed, has described it as a gaussian white noise. Were not associated with the second order moments of the gaussian white noise, a moment is constant, 所谓高斯噪声是指它的概率密度函数服从高斯分布（即正态分布）的一类噪声。如果一个噪声，它的幅度分布服从高斯分布，而它的功率谱密度又是均匀分布的，则称它为高斯白噪声。高斯白噪声的二阶矩不相关，一阶矩为常数，是指先后信号在时间上的相关性。高斯白噪声包括热噪声和散粒噪声。 (Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If a noise, its amplitude distribution obeys the gaussian distribution, and its power spectral density is uniformly distributed, has described it as a gaussian white noise. Were not associated with the second order moments of the gaussian white noise, a moment is constant, refers to the correlation of signal in time. White gaussian noise including thermal noise and shot noise. )

基于特征目标跟踪程序 matlab 程序(基于特征目标跟踪程序)

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):

optimation method DFP