2Tx2RxSTBC

Face Recognition using PCA

边缘是图像最基本的特征，是图像分割的第一步。经典的边缘检测方法如：Roberts，Sobel，Prewitt，Kirsch，Laplace等方法，基本都是对原始图像中象素的小邻域构造边缘检测算子，进行一阶微分或二阶微分运算，求得梯度最大值或二阶导数的过零点，最后选取适当的阀值提取边界。由于这些算法涉及梯度的运算，因此均存在对噪声敏感、计算量大等缺点。在实践中，发现SUSAN算法只基于对周边象素的灰度比较，完全不涉及梯度的运算，因此其抗噪声能力很强，运算量也比较小。并将SUSAN算法用于多类图像的边缘检测中，实验证明该算法非常适合含噪图像的边缘检测。 2 SUSAN边缘检测简介 (err)

电力抄表规约dl/t645调试软件，有助于开发645抄表程序(Electricity meter reading of the Statute dl/t645 debugging software, helps to develop 645 meter-reading program)

偏微分方程的matlab实现。包括各种函数的调用的m文件(Partial differential equations in MATLAB implementation. Including all function calls m file )

顺序聚类算法的改进-MBSAS，并在MATLAB上实现该算法。(Clustering algorithm in order to improve-MBSAS, and the algorithm in MATLAB to achieve.)

本文件是poly16相位调制方式的仿真实现方案，希望能对大家有所帮助(poly16 phase modulation method to achieve the simulation program, we hope to help)

system identification

均衡技术的matlab仿真。包括时域均衡和频域均衡后的信噪比对比(Equalization matlab simulation. Including time domain equalization and frequency domain equalization SNR comparison)

Steepest descent have been applied to a biomedical application data and the component responsible for key operation is obtained

This function can be used for separating or filter out Red components, Green components and Blue Components of colors from the color images.