IIvew

Calendar Application” Using C/C++

说明：  使用VC++调用Matlab程序，利用自带的Matlab引擎实现数据交换。(Using VC++ calling Matlab program, using the Matlab engine comes with data exchange.)

基于 matlab 平台下的 约束非线性方程的解法的复合形法源程序（）(matlab program compex)

遗传算法解决5种多旅行商问题（mtsp）的matlab程序 分别为以下5中情况： 1.从不同起点出发回到起点（固定旅行商数量） 2.从不同起点出发回到起点（旅行商数量根据计算可变） 3.从同一起点出发回到起点 4.从同一起点出发不会到起点 5.从同一起点出发回到同一终点（与起点不同）(5 kinds of genetic algorithms to solve multiple traveling salesman problem (mtsp) matlab program 5, respectively, the following situations: 1. Back to the starting point a different starting point (TSP fixed amount) 2. Back to the starting point a different starting point (TSP amount calculated variable) 3. Starting the same starting point back to the beginning 4. Starting the same starting point to the starting point is not 5. Starting the same starting point back to the same end point (with different starting points))

从最常用的“.BMP”图像格式中读取图像数据, 通过访问数字图像RGB三个通道的对应矩阵，改变数字图像的色彩 将数字图像的RGB表示转换为YUV表示；通过访问Y（亮度）通道，改变数字图像的亮度；通过Y（亮度）通道作灰度的线性变换，改变数字图像的对比度(failed to translate)

CDMAT-ransmitter receiver-CDMA is an access technique which uses entire for communication

用matlab实现偏微分方程的求解，具体的算法实现都以给出。(Using matlab to achieve the solution of partial differential equations, specific algorithms have to give.)

说明：  本程序实现多模态故障检测与故障诊断，用的方法是LPP_GMM，GMM是用的FJ算法，效果很好(This procedure realize multimodal, fault detection and fault diagnosis method is LPP_GMM, GMM FJ algorithm is used, the effect is very good )

自己用matlab-GUI所设计的一个日历。(Using Matlab GUI design a simple calendar)

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization