pftest

这是一个多重网格的程序，可以对偏微分方程进行计算！(This is a multi-grid procedure, partial differential equations can be calculated!)

说明：  SAR SIFT图像配准算法。yishiliuhuasheng/sar_sift(SAR sift image registration algorithm. yishiliuhuasheng/sar_ sift)

基于surf的图像复制篡改检测matlab实现(surf image detect matlab)

用协方差方法估计AR模型参数,进而实现功率谱估计,()

用matlab编写的实现椭圆检测的程序，自己稍微改下就可以(using Matlab prepared by the realization ellipse detection procedures, their own little can be changed under)

ASIFT图像特征提取源代码，有测试图片和demo(ASIFT image feature extraction source code, test images and demo)

全约束最小2乘法，用于遥感图像的混合象元分解(2 multiply constrained minimum-wide, the mixed-use remote sensing image pixel decomposition)

目前已有的手部运动跟踪系统大多在一定程度上限制了人体运动自由. 基于此, 提出一种无线、 可穿戴、 无障碍的腕关节、 指关节运动跟踪系统. 在人体每个手指甲上粘贴一轻小永磁体, 用以产生标示腕关节、指关节运动的信号 若干磁传感器置于手腕处的电子腕带上, 作为标示信号( 磁信号) 检测器. 当腕关节、 指关 节运动时, 永磁体在各传感器所在位置处的合成磁场发生变化, 传感器对该磁场信号进行测量, 所检测到的磁场信号送入手部姿势估计器, 估计器基于系统数学模型计算手部姿势, 从而实现对手部运动的跟踪.(Most of the existing hand movement tracking system to a certain extent limited the freedom of human motion. This paper presents a wireless, wearable, accessible wrist, knuckles motion tracking system. In each fingernail on the human body Paste a light small permanent magnet to produce marked the wrist, referring to the signal of the joint movement the number of magnetic sensors placed in the wrist at the electronic wristband, as marked signal (magnetic signal) detector. when the wrist, knuckles campaign , the permanent magnet in the magnetic field of the sensor location at changes in the sensors of the magnetic signal measurement, the detected magnetic field signal sent from the start with the Ministry of posture is estimated, the estimator based on the mathematical model to calculate the hand position in order to achieve of hand movement tracking.)

实现对图像平滑模糊，有简单平滑、高斯模糊和中值滤波三种可选，基于OPenCV类库实现，代码可直接运行(Achieve a smooth blur the image, a simple smooth, Gaussian blur and median filtering three options, OPenCV-based library, the code can be run directly)

国外著名的凸优化程序包，压缩感知理论，恢复算法(Foreign well-known convex optimization package, compressed sensing theory, and recovery algorithm)