rili

用python实现了一个从云平台下载资源的程序(it can run in the python2.6.6)

Installing the IMS Fortran windows

说明：  （D-S）基于认知无线电的频谱感知技术的研究,是一种信息融合的频谱感知技术。((DS) based on cognitive radio spectrum sensing technology research, is an information fusion spectrum sensing technology.)

认知无线电是一种用于提高无线电通信频谱利用率的新的智能技术. 首先简述认知无线电的背景和概念,针 对认知无线电的频谱感知功能,详细地分析基于能量检测的频谱检测方法,在此基础上研究了噪声方差的不确定 性对检测性能的影响. 针对无线信号检测具有本地局域性和能量检测存在信噪比极限的特点,提出一种分布式有 限合作检测机制,推导出基于“OR”规则的有限合作机制的检测概率,并进行Monte Carlo仿真.(Cognitive radio is a radio communications spectrum used to improve the efficiency of the new smart technology. First, the background and outlined the concept of cognitive radio, spectrum sensing for cognitive radio capabilities, a detailed analysis of the spectrum based on energy detection test In this study the noise variance based on the uncertainty of the detection performance. for wireless signal detection with local detection of localized and there is signal to noise ratio limit of the energy characteristics of a distributed cooperative detection mechanism, derived out based on " OR" rules of the detection probability of the limited cooperation mechanism and conduct Monte Carlo simulation.)

Python配套使用资料，更直观的看到协议分析图，更好地学习。(Python supporting the use of data, see the protocol analysis more intuitive, better learning. )

黑客技术教程，其实是一位黑客高手的随笔啊。(Hacking technology tutorials, is a master hacker of Suibi ah.)

最新的压缩感知方面的论文——压缩感知重构算法之字典学习算法(Dictionary Learning Algorithms for Sparse Representation)

说明：  想学习黑客技术，进行逆向编程，同时提高编程技术的可以下载学习(Want to learn hacker technology, reverse programming, while improving the programming technology can be downloaded to learn)

相控阵雷达及其仿真技术：蔡庆宇著，包括最优估计，非线性滤波，机动目标跟踪，系统仿真技术等内容，是学习相控阵雷达技术的一本重要参考书(phased array radar and simulation technologies : a Qingyu, including optimal estimation, non-linear filtering, mobile target tracking, System simulation technology, learning phased array radar technology an important reference books)

说明：  This classroom-tested and easy-to-understand textbook/reference describes the state of the art in 3D reconstruction from multiple images, taking into consideration all aspects of programming and implementation. Unlike other computer vision textbooks, this guide takes a unique approach in which the initial focus is on practical application and the procedures necessary to actually build a computer vision system.