Segmentation-of-Images_2

使用K-MEANS算法进行图像的分割，并且有详细的语句注释(K-MEANS algorithm using image segmentation, and a detailed statement notes)

合成孔径雷达成像程序，使用RD算法，对点目标进行仿真，实现点目标的成像(Synthetic aperture radar imaging procedures, the use of CS algorithm, the point target simulation to achieve point target imaging)

在matlab，传统的边缘检测直接调用edge函数，但是得到的边缘信息较稀薄，可以通过将sobel,roberts,prewitt三种算子的边缘检测叠加起来，并且对于连续的边缘部分拓宽，使得边缘更连贯清晰(In matlab, traditional edge detection edge direct call function, but thinner than the edge information can be obtained by sobel, roberts, prewitt three edge detection operator stack up, and for widening the continuous edge portion, so that the edge is more consistent clear)

说明：  基于局部傅里叶变换数据的重构算法的研究,是一种比有效快速的重构算法(New features: Switched to complex computation, fully compatible with complex data Replaced penalty parameter continuation by R. Glowinski and P.L. Tallec s alternating direction method (ADM or ADMM) New parameter/data normalization was added to make parameters rather independent of the image size, pixel intensity range, and number of CS measurements. To find the parameters aTV and aL1 for version 2.0 corresponding to those used in versions 1.1 or 1.0, see Lines 60, 66, and 67 of RecPF.m. )

《MATLAB图像处理实例详解》源代码 第15 章 ( MATLAB image processing example explanation Source Code Chapter)

上传一些matlab常用的指令和函数，非常实用，再也不用查了！都在这里～(Upload some matlab commonly used commands and functions, very practical, no longer checked! All here ~)

阵列信号处理常用的MUSIC算法，包括经典MUSIC，求根MUSIC，基于四阶累积量的MUSIC等(MUSIC usual array signal processing algorithms, including the classic MUSIC, Root MUSIC, based on fourth-order cumulant MUSIC etc.)

最小二乘法matlab程序，用于参数估计，可以用于系统辨识和自适应控制。(Least squares method matlab program for parameter estimation, system identification, and can be used for adaptive control.)

说明：  用matlab写的一个关于最大期望算法EM实现(Using matlab to write an EM algorithm on the greatest hope to achieve)

说明：  matlab7.0 在科学计算中的应用，特别适合数学专业，信息专业学生学习使用。(matlab7.0 in scientific computing applications, particularly suitable for mathematics, students learn the use of information professionals.)