Chapter_5

说明：  ：该文首先研究了单认知用户能量检测算法的检测性能和检测灵敏度与检测时长和噪声短时间内平均功率波 动性之间的关系，得出检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降的结论，在低信噪 比时尤为明显；针对检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降，提出了基于多用户 协同能量检测算法。仿真表明，在低信噪比环境下，即使噪声短时间内的平均功率存在较大的波动性，只要适当地 增加协同检测的用户数，仍可获得较为准确的检测性能。(In this paper, detection performance and detection sensitivity with detection duration and noise average power fluctuation in short time is investigated firstly. Performance accuracy and detection sensitivity drop quickly with noise average power fluctuation increasing and it is worse when signal-to-noise ratio lower. Considering the characteristic, a novel new energy detection algorithm based on cooperative is presented. Simulations show that the proposed scheme improves antagonism of noise average power fluctuation in short time and gets a good detection performance as long as increasing the number of cooperative detection users.)

支持向量机的分类识别程序，经过改进的程序，识别效果好(Support vector machine classification and recognition program, improved procedures, identify good)

求解的长直接地金属槽和平板电容中的电场，并画出等位线分布图(Calculation of Electron Physics )

短时傅里叶变换提取线性调频雷达信号的时频分布，具有很好的效果(When the short-time Fourier transform to extract chirp radar signal frequency distribution, with good results)

源程序是matlab仿真的程序,很实用的！(Source is the matlab simulation program, very useful!)

基于meanshift的视频跟踪，实现了目标的追踪。(Meanshift based video track to achieve the goal of tracking.)

用MATLAB仿真实现GMSK，可直接运行的。(Using MATLAB simulation GMSK, can be directly run.)

Matlab中几个经典的编程例子，很适合初学者(Matlab, the programming of several classic examples, it is suitable for beginners)

最大流问题，一种组合最优化问题，就是要讨论如何充分利用装置的能力，使得运输的流量最大，以取得最好的效果。求最大流的标号算法最早由福特和福克逊于1956年提出，20世纪50年代福特、福克逊建立的“网络流理论”，是网络应用的重要组成成分。(Maximum flow problem, a combinatorial optimization problem, is to discuss how to make full use of the capacity of the device to maximize the flow of transport in order to achieve the best results. The labeling algorithm for maximum flow was first proposed by Ford and Fulkerson in 1956. The network flow theory established by Ford and Fulkerson in 1950s is an important component of network application.)

对一幅图像进行数理统计，包括均值、方差、相关度，熵等等。(STATISTICAL COMPUTES STATISTICAL MEASURES OF TEXTURE IN AN (2D)IMAGE LIKE CONTRAST,CORRELATION, ENERGY & HOMOGENEITY)