advisor2002

说明：  压缩感知 正交匹配追踪一些人关心压缩感知与雷达成像，他们把稀疏表示放在最重要的地方，以为在雷达成像中成功实现压缩感知关键是稀疏表示； 事实上并不是如此。我们知道：压缩感知需要建立AX=B,且该方法具有较低的抑制信噪比能力；另外雷达成像的基础是雷达 信号与目标的相互作用，也就是电磁波与介质的相互作用，该相互作用是一个非常复杂的非线性问题，因此研究这个问题与 压缩感知的关系才是解决雷达成像问题的关键点所在。从另外一个角度来看，雷达成像中惯用的方法是匹配滤波，它之所以 能够处理低信噪比的问题，是因为它利用了回波数据的冗余信息。也就是目前雷达成像算法之所以成功的关键是具有足够 多的冗余信息。现在，在雷达成像中使用压缩感知恰好是反其道而行之！ (compressed sensing)

重要的模拟程序，模拟精度很高，值得大家好好参考，好好学习一下(Important simulation, the simulation accuracy is high, is worth a good reference to learn about)

symbol rate estimation of linearity modulation signals

随机共振理论及算法，能够实现经典随机共振过程，是源代码(Stochastic resonance theory and algorithms can achieve the classic stochastic resonance process, the source code)

很好的OFDM的基于MATLAB的仿真程序包，且包含了最终结果图.(montecarlo type montecarlo in the command window and wait for a long time.. _simulation of the complete OFDM system. _use of a very large file in order to get probabilities. _loop over different value of the noise. _compute the SNR for each value of the noise. _provide the SNR/BER plot. if you are in a rush : simulation_system !! go into the right folder and type simulation_system in the command window. _then type the value of the noise power (range = [-20,10]) _the function provides the channel estimation, the bit allocation, and a plot illustrating the errors. _this is a fast function (less pilot, no synchronization, small file).)

基于隐马尔科夫模型的人脸识别系统，包含完整的测试程序(Hidden Markov Model based face recognition system, including a complete test program)

简化MAX-LOG-MAP算法与LOG-MAP算法性能对比 MAX-LOG-MAP_1024_标准交织_1～3次迭代_grid 简化MAX-LOG-MAP算法与门限MAX-LOG-MAP算法性能对比_10次迭代640交织长度(Simplify the MAX-LOG-MAP algorithm and the LOG-MAP algorithm performance comparison MAX-LOG-MAP_1024_ standard cutting _1 ~ 3 iterations _grid simplify the MAX-LOG-MAP algorithm and the threshold MAX-LOG-MAP algorithm performance comparison _10 cutting length of 640 iterations)

求最小PID可达方差,用于评价PID控制系统的控制系能，比最小方差控制最为评价基准更可靠(PID up to find the minimum variance control system for evaluation of PID control system can be more than the minimum variance control most reliable evaluation criteria)

简要的Gauss列主元消去法，很实用，用matlab实现，还有一个图例，程序说明很详细(brief Gauss main-element elimination, very practical, using Matlab to achieve, there is a legend, a very detailed description of the procedures)

关于turbo码及其在3G中的应用，对初学者有帮助(about Tubro and its application in 3G)