石川公式MATLAB

说明：  用optisystem制作得FBG 滤波器(FBG filter was made with optisystem)

DPM作者获得 2010年CVPR终生成就奖，DPM是在HOG的基础上进行改进，解决了HOG算子的不足，并且对SVM也进行了小幅度改善提出了LSVM这个概念(DPM is improved on the basis of HOG. It solves the shortcomings of HOG operator, and makes a small improvement on SVM. The concept of LSVM is proposed)

脉冲压缩技术是匹配滤波理论和相关接收理论的一个很好的实际应用。它的提出很好的解决了这样的一个问题：在发射端发射大时宽、带宽信号，以提高信号的速度测量精度和速度分辨力，而在接收端，将宽脉冲信号压缩为窄脉冲，以提高雷达对目标的距离分辨精度和距离分辨力(Pulse compression technology is a good practical application of matched filtering theory and related receiving theory. It solves such a problem very well: transmitting large time-width and bandwidth signals at the transmitter to improve the speed measurement accuracy and speed resolution of the signal, and compressing the wide pulse signal into narrow pulse at the receiver to improve the range resolution accuracy and range resolution of radar to target.)

实现了三维超声PNN算法的GPU加速；实现GPU加速的CT圆轨道平板探测器FDK重建算法；提供对canny边缘检测算法的支持；提供交互式graph cut分割方法；实现OSTU分割算法；(Three dimensional ultrasound PNN algorithm GPU acceleration to achieve GPU accelerated CT reconstruction algorithm for circular orbits FDK flat panel detector provide support for canny edge detection algorithm provide interactive graph cut segmentation achieve OSTU segmentation )

蔡远利，西安交大，随机滤波与最优估计，非线性滤波，卡尔曼滤波，最小方差估计(optimal estimation)

一个局部直方图均衡化算法，输入为图像和窗口的长宽，并且长宽只能为奇数(A local histogram equalization algorithm, input images and the length and width of the window, and the length and width of only odd-numbered)

分段自适应正交匹配追踪StOMP算法源程序，压缩感知里面很好的算法(Orthogonal Matching Pursuit StOMP adaptive segmentation algorithm source code, a good algorithm inside compressed sensing)

通过对二维人脸图片的特征提取进行三维人脸的重建(Through the two-dimensional face image feature extraction for three-dimensional reconstruction of human faces)

说明：  在图像分割中，利用Hough变换进行直线提取的matlab源程序。提取方法不同于一般的边缘检测算法。(In image segmentation using Hough transform for straight line extraction matlab source. Extraction method is different from the general edge detection algorithm.)

说明：  利用Hough变换实现半径未知的圆形物体的检测(Use Hough transform to achieve a circular radius of an unknown object detection)