C++编写的乌龟兔子赛跑的程序，其中赛跑的过程是电脑随机决定的...

Matlab studing materials

白噪声和瑞利信道下对OFDM的仿真实现，不错，推荐给大家。(White noise and Rayleigh channel simulation of the OFDM to achieve)

使用自适应逼近的短期负荷预测，，为matlab代码，程序较为简单 (Short-term load forecasting using adaptive approximation for the matlab code, the procedure is relatively simple)

c# 对象拷贝属性 Copy方法

找待选物体图像的长轴位置(find objects to be elected to the long axis image location)

数字图像获取, 处理及实践应用源代码——很多有用的图像处理的源代码：图像显示（原图、抖动），图像增强（灰度变换、直方图均衡、多种滤波器、伪彩色增强等），图像复原（运动模糊、逆滤波等等），图像变换（傅立叶变换、快速傅立叶变换、离散余弦变换、沃尔什变换、霍特林变换、小波变换、小波反变换），图像编码（霍夫曼编码、香浓-费诺编码、算术编码、位平面编码等），图像识别。(Digital image acquisition, processing and practical application source code- a lot of useful image processing source code: Image Display (image, jitter), image enhancement (gray-scale transformation, histogram equalization, multi-filter, pseudo-color enhancement, etc. ), image restoration (motion blur, inverse filtering, etc.), image transform (Fourier transform, fast Fourier transform, discrete cosine transform, Walsh transform, Hotelling transform, wavelet transform, wavelet transform), image coding (Huffman coding, Shannon- Fenno coding, arithmetic coding, bit plane coding, etc.), image recognition.)

本设计是以单片机为控制核心，通过液晶实时显示时钟，并通过LM35D传感器测量温度，将温度值实时显示在液晶上。(The design is based on microcontroller core, real-time via the LCD display clock, and through LM35D sensors measure temperature, the temperature values ​ ​ displayed in real time on the LCD.)

说明：  小波变换技术与工程实践：图像的小波变换(MFC框架下)(Wavelet transform technology and engineering practice: Image Wavelet Transform (MFC framework))

说明：  提供一个支持多无人系统协同对抗决策优化的平台(Provide a platform to support cooperative confrontation of multiple unmanned systems)

#include "stdio.h" #include #include #include #include "opencv2/opencv.hpp" #include #include #include "opencv2/core/types_c.h" #include "opencv2/calib3d/calib3d.hpp" //#include //#include #include #include < Windows.h > using namespace std; using namespace cv; int main(int argc, char** argv) {  vector pts_src(4);  vector pts_dst(4);  Mat warp_matrix;  Mat src, dst;  int offset_x, offset_y;  src = imread("fish.jpg");  dst = Mat(src.rows,