gold序列的生成

很详细的分析了matlab编程，分析问题的方法(Very detailed analysis of the matlab programming, analysis of the problem)

图像的退化与复原，有两种退化方式和多种复原方式(Image degradation and recovery, there are two degradation modes and a variety of recovery methods)

许多系统包含了流量问题。例如交通系统有车流量，金融系统有现金流，控制系统有信息流等。许多流问题主要是确定这类系统网络所能承受的最大流量以及如何达到这个最大流量。MATLAB环境下解决最大流问题(Many systems contain a flow problem. Traffic such as traffic system, the financial system has cash flow, information flow control system. Many flow problem is to determine the maximum flow of such systems and how the network can bear to achieve this maximum flow. Maximum flow problem solving MATLAB environment)

This project compares the performance of SOM versus LVQ in classification problems. Given two data sets: ‘iris.dat’ has 150 patterns of 3 classes with 4 features. ‘wine.dat’ has 178 patterns of 3 classes with 13 features. For SOM, use its algorithm (not use MATLAB tool), but for LVQ use MATLAB tool.

MATLAB的经典课件，包括矩阵运算，m文件，函数调用等等(MATLAB classic courseware, including matrix operations, m file, function calls, etc.)

The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217(The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202- 217)

模拟退火应用算法 可以用于一部分信号的处理(Application of simulated annealing algorithm)

利用积分原理求解输入信号的均值和均方差值(solve mean value and mean square deviation )

认知无线电，退避策略，可用于学习，可运行，本人毕设研究内容(Cognitive radio, evasion strategy, can be used for learning, can be operated, I set up the research content.)

awgn信道下，卷积编码与M-QAM调制相结合的系统分组错误概率与信噪比的函数关系的matlab仿真程序(awgn channel, convolutional coding and M-QAM modulation system, the combination of packet error probability and SNR is a function of the matlab simulation program)