20075417291016997

Induction machine in synchronous reference frame

FIR滤波matlab程序，有详细仿真结果，非常实用(FIR filtering matlab program, detailed simulation results are very useful)

在matlab环境下旅行商问题的遗传算法(In the traveling salesman problem matlab environment genetic algorithm)

This funtions draw circles to the limbic and pupillary boundary. this function is used in the daugman algorithm after the steps of thresholding and partial differeniation.

对噪声信号中的正弦信号，通过Pisarenko谐波分解方法、Music算法和Esprit算法进行频率估计，信号源是： 其中， ， ， ； 是高斯白噪声，方差为 。使用128个数据样本进行估计。 1、用三种算法进行频率估计，独立运行20次，记录各个方法的估计值，计算均值和方差； 2、增加噪声功率，观察和分析各种方法的性能。(Sinusoidal signal in the noise signal through the Pisarenko harmonic decomposition method, Music algorithms and Esprit frequency estimation algorithm, the signal source is: where,,, a Gaussian white noise, variance. 128 data samples used to estimate. 1, with three kinds of frequency estimation algorithm, run independently 20 times, record the estimated value of each method to calculate the mean and variance 2, the increase in noise power, observation and analysis of the performance of various methods.)

motion tracking to detect and track moving objects through a sequence of images

说明：  In this paper, a new control strategy for an induction motor (IM) drive system fed from three-phase pulse width modulation (PWM) ac chopper is proposed.

模糊聚类算法，经过改进，自己输入初值，经过运行，能出结果(Fuzzy clustering algorithm, improved their initial input, after operation, the results can)

low pass filter design using matlab

anny边缘检测算子是John F. Canny于 1986 年开发出来的一个多级边缘检测算法。 Canny边缘检测算法： step1:用高斯滤波器平滑图象； step2:用一阶偏导的有限差分来计算梯度的幅值和方向； step3:对梯度幅值进行非极大值抑制； step4:用双阈值算法检测和连接边缘。(anny edge detection operator is John F. Canny developed in 1986 out of a multi-level edge detection algorithm. Canny edge detection algorithm: step1: Gaussian smoothing filter image step2: first-order finite difference to calculate partial derivatives of the magnitude and direction of the gradient step3: the gradient magnitude non-maxima suppression step4: use dual-threshold algorithm for detecting and connecting edges.)