遗传算法解决TSP问题MATLAB程序

lda的实现,找了很久的,还不错的,大家可以试试!(lda implementation, to find a long time, but also good, we can try!)

图像的平面微分平方和能够反映图像高频分 量的能量。用计算平面微分平方和的方法在空间域上计算相邻像素亮度差值的平方和，对应于在频率域上计算图像高频分量的能量和，此值越大，图像对焦越准确(Differential square image plane and the image can reflect the energy of high frequency. Computational method of Planar Differential squares calculated in the space domain to the square of the difference between the brightness of adjacent pixels and corresponds to the image in the frequency domain calculation of high frequency energy and, this value is larger, the more accurate the image focus)

通过调用matlab遗传算法工具计算函数的最大值(Using genetic algorithm function of the maximum)

this file includes the matlab code of Jensen similarity measure.

Model Reference Adaptive Control

开关磁阻电机控制，速度闭环，角度位置控制，S函数编写，转矩脉动m函数(Switched reluctance motor control, closed loop speed, angular position control, S function written torque ripple m function)

黄教授的极限学习机代码，结合他的论文看，很有用，希望有帮组(Extreme Learning Machine Code, very useful)

说明：  基于RSSI室内定位算法仿真，运用MATLAB平台实现定位算法(Simulation of indoor location algorithm based on RSSI)

OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.

From the partial fraction expansion of H(z) we can find a, b