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该资料为机器人学的实验材料，包括仿真软件，实验题目以及实验解答(The data for the robotics experiment materials, including simulation software, test questions and test answers)

进行图像的角点提取，方法是先通过Harris方法选初始点，然后对初始点进行Forstner算法进行筛选，最后得到图像角点。(The image of the corner detection, the method is to first select the initial point through the Harris method, and then point Forstner initial screening algorithm, the resulting image corner.)

此程序为链接Optisystem光学仿真软件的MATLAB程序(This program is linked Optisystem optical simulation software MATLAB program)

欢迎大家下载学习，wolf 方法计算李雅普诺夫指数,matlab开发工具箱中的支持向量机。( Welcome to download the study, wolf calculated Lyapunov exponent, matlab development toolbox support vector machine.)

对C++语言的反思，阐述c++语言的精髓，及基于作者多年编程经验总结的体会(think the core of c++ programming language)

网上搜索的关于FrFT的matlab程序，，正在开始研究这方面的，希望对大家有帮助(Online search procedures matlab on FrFT, is being started to study in this regard, )

PageRank模型在中文情感词极性判别中的应用(PageRank model in the Chinese emotional polarity discrimination in the application of the word)

实现彩色图象的读取,以及回度图象的读取,及相关的变换(Achieve color image reading, and reading back of the picture, and the associated transformation)

matlab最短路的贪心算法，用VC++实现，把ShortEst.dll复制到matlab工作文件夹运行（先要运行mex-setup，关联VC与MATLAB）调用方法如 a = [-1,2,3 2,-1,4 3,4,-1] ShorstEst(a) 即可(matlab most short-circuit the greedy algorithm, using VC++ to achieve, and copy it to ShortEst.dll working folder matlab run (first run mex-setup, associated VC with MATLAB) method call, such as a = [-1,2,3 2,-1,4 3,4,-1] ShorstEst (a) can)

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