table_index.sql

segmentation is done by k-means algorithm

PCA特征脸 可以获得ORL库的特征连图像。(PCA face)

提供一个仅通过平面上的三点画出一个圆形的小程序，仅供大家探讨(draw a circle with 3 points)

通过对高通滤波器的理解，通过matlab编程，实现了窗函数法高通滤波器滤波(Through the high-pass filter to understand, through matlab programming, achieve a high-pass filter window function filtering)

ESPRIT是“Estimating signal parameters viarotational invariance techniques”的缩写，含义是“借助旋转不变技术估计信号参数”，它是由Roy[221等人于1986年提出的另一种基于子空间的DOA估计方法。 应用领域 　　侧向定位 信号处理 思想 　　ESPRIT的思想在于，将传感器阵列分解为两个完全相同的子阵列，两个子阵中每两个相对应的阵元具有相同的平移，即要求阵列具有平移不变性，每两个位移相同的阵元匹配成对。所幸的是实际中许多阵列满足这个条件，比如等距直线阵。(ESPRIT is "Estimating signal parameters viarotational invariance techniques" acronym, meaning "With ESPRIT estimation of signal parameters", it is by Roy [221, who in 1986 proposed DOA estimation method based on subspace another. Applications Lateral positioning signal processing Thinking ESPRIT thinking that the sensor array is divided into two identical sub-arrays, each of the two sub-arrays of two corresponding array element has the same translation, which requires an array with translation invariance, the displacement of each of the two identical arrays yuan matching pairs. Fortunately, many of the actual array satisfy this condition, such as equidistant linear array.)

说明：  此为matlab教程范例，包括图像、小波分析、优化、神经网络、遗传算法及其他部分范例(This is an example of matlab tutorials, including images, wavelet analysis, optimization, neural networks, genetic algorithms and other parts of sample)

Online identify the plant dynamic by using intelligent architectures here using MLP architecture neural network for the plant.

自己编的canny算子,可识别出图像中物体的轮廓,经典算法之一.(canny operator can identify the contours of objects in an image, one of the classic algorithms.)

说明：  用matlab编写的计算机图形学中的画线算法。包括几种经典的画线算法，如中点画线等。(Prepared using matlab draw line in computer graphics algorithms. Includes several classic line drawing algorithm, such as the dotted lines.)

说明：  分割对比实验：软硬ESFCM分割结果是差不多的，但是，软ESFCM的执行时间要比硬ESFCM少很多(Split comparative experiments: hardware and software ESFCM segmentation results are similar, but the execution time of the soft ESFCM much less than the hard ESFCM)