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通过对现在汽车前轮转向机构的分析，设计了其优化算法。(By now the front wheel steering motor vehicle analysis, design of its optimization algorithm.)

小波分析的基本理论，内容全面，包括matlab实现小波分析的实例和源代码，适合学习小波分析和研究。(The basic theory of wavelet analysis is comprehensive, including examples and source code matlab wavelet analysis, the suitable learning wavelet analysis and research.)

OFDM盲识别仿真的接收端，对OFDM信号进行符号持续时间，循环长度和子载波数量的估计(OFDM blind identification, simulation of the receiving end of OFDM signal symbol duration, cycle length and the subcarrier number of estimates)

关于智能天线的一些MATLAB仿真源程序，详细讲述了波束成形、波达方向以及LMS算法、LS算法等仿真程序，具有通俗易懂，便于修改调试等特点(Parallel relation of genetic algorithm in crossover and mutation)

bpsk的算法实现,运行快，计算量少，误差小。 (very fast )

小生境遗传算法，该算法易于找出优化问题的所有局部最优解和全局最优解(Niche Genetic Algorithm. The algorithm is easy to find the optimization problem in all local optimal solution and the global optimal solution)

说明：  分析了相位噪声对正交频分复用(OFDM)系统的影响,发现相位噪声不仅产生 通用相角错误(CPE),而且还会产生载波间干扰(ICI),这都使OFDM系统的性能急剧恶 化,因此必须对CPE和ICI进行校正.文中给出了基于MSE准则的CPE校正方法,考虑到 ICI干扰主要来源于相邻信道,进而提出了基于LMS法则的自适应相邻信道干扰消除方 法.整个算法简单高效.仿真结果表明,所提出的算法大大改善了OFDM系统的性能(Phase noise is analyzed for orthogonal frequency division multiplexing (OFDM) systems, the influence of found that phase noise is not only a common phase error (CPE), but also produces the intercarrier interference (ICI), which makes the performance of OFDM system has evil, so must to CPE and ICI. CPE correction method based on MSE criterion are also given in this paper, considering the ICI interference is mainly from the adjacent channel, then was proposed based on the laws of LMS adaptive adjacent channel interference elimination The simulation results show that the proposed algorithm greatly improves the performance of OFDM system)

采用simulink搭建的BPSK调制解调模块(Simulink built using BPSK modulation and demodulation modules)

MATLAB实现的伽罗华域乘法，在AES的安全算法中应用到(MATLAB implementation Galois field multiplication, in the AES security algorithm applied to the)

计算Erlang B,C 模型中阻塞率与输入负载随服务器数量变化的数值关系并绘图。 模拟一个M/M/k排队系统。 该资料为通信系统排队理论matlab实验内容。(Using the iterative scheme, calculate the blocking probability of the Erlang B and C model. Draw the relationship of the blocking probability and offered traffic while sever number varies. Simulate a M/M/k queue system with input parameters of λ, μ, k)