迭代器模式 迭代器模式

c++的jpeg 源码(c++ the jpeg source)

可以从一个txt文件中读取出若干个学生的各科成绩，并且计算出每科的平均成绩。对学生的成绩进行排序，还可以显示出每科的最高分。并且可以生成txt文件把这些结果用储存起来。(It can read a number of students grades in all subjects a txt file, and calculate the average score for each subject. Sort on student achievement, but also can show the highest score for each subject.Besides ,it can generate txt files to store theses results.)

说明：  精美的WPF界面示例，请大家积极下载，可以用(Beautiful example of WPF interface)

XDOJ acm上第1001题AC后的结果，希望对大家有用。(XDOJ acm AC results of the 1001, hope that useful.)

说明：  光伏并网逆变器的仿真以及参数的设定，采用传统配置(inverter Simulation of photovoltaic grid-connected inverters and parameter settings using traditional configurations)

该软件采用KEIL环境编辑的C程序，主要由共阳数码管显示，正弦波数据、三角波信号数据、锯齿波信号数据、功率输出采用PWM，同时采用轻触式开关的操作模式来控制和操作。

快速中值滤波，在大数据量的情况下速度很快，论文“Median Filter in Constant Time”的C语言实现(C souce code for "Median Filter in Constant Time")

结合串口在visual studio中实现行人检测，可将数据通过串口传出去。

说明：  迭代法求解线性方程组，可以运用数值计算方法中的雅克比迭代法求解线性方程组(diadaifa)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )