metrix_ifc

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.)

SNR相对于检测距离，对于两种目标类型,脉冲非相干积累(SNR relative to the detection distance for the two types of target)

纵横向拉开档次法的MATLAB实现，对于动态评价方法的编程实现(Vertical and horizontal method of MATLAB implementation, evaluation method for dynamic programming)

遗传算法源码,在matlab环境下做的,可以仿真 简单的遗传运算(Genetic algorithm source code in matlab environment so can a simple simulation of genetic computing)

说明：  matlab有关AR过程的线性建模与功率谱估计程序设计(The linear AR process modeling and power spectrum estimation)

求解二维无粘欧拉方程，算的是一个二维收扩喷管(Solving two-dimensional inviscid Euler equations, operator of a collection of two-dimensional expansion nozzle)

介绍一种球度误差评价方法的文章，很不错，值得深入研究(This is a new strategy and means for sphericity form error evaluation.)

说明：  光学夫朗和费衍射现象模拟Matlab源代码 (Optical phenomenon of Fraunhofer diffraction simulation Matlab source code)

turbo_tst.m 是启动文件，利用bcjr算法进行Turbo码的仿真。同时为了进行比较，还进行了viterbi软译码的仿真。单独的turbo码的仿真主要就是bcjr.m程序，viterbi译码所需的文件比较多一点。(turbo_tst.m the startup files, the use of simulation algorithms bcjr Turbo codes. Meanwhile, in order for comparison, the viterbi decoding software for simulation. Simulation separate turbo code is mainly bcjr.m program, viterbi decoding files needed a little more.)

thresholding based on FCM