Elevater2.1

VC++实现滑动块 按键盘A键滑块左移，D键滑块右移(VC++ realize sliding blocks. According to A slider keyboard key moves left, D key slider move to the right. )

说明：  用MATLAB完整的时间序列预测模型，适合多种方法(With a complete MATLAB time series forecasting model, suitable for a variety of methods)

是一个IIC通信程序，利用定时器进行扫描按键和数码管(IIC is a communication program, using the timer button for scanning and digital control)

说明：  单纯形法C语言程序，适用于目标方程在约束方程的基础上，求解！(visual C++)

This is my whole part of visual basic my licence project!

marching cubes OPENGL实现算法(marching cubes )

在KEIL C51平台上 用 汇编写的一段程序（主要功能是 测频率：数字频率计)(In KEIL C51 platform a program written in assembly (the main function is to measure frequency: digital frequency meter))

混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system. These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid- based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed. Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels but also have a better robustness.)

三维最大Renyi熵的灰度图像阈值分割算法(Maximum Renyi entropy of three-dimensional gray-scale image segmentation algorithm)

Shamir门限算法的C++实现，依赖于NTL开源代码库(Shamir threshold algorithm C++ implementation, relies on NTL open source code base)