matlab

实现了无线通信中需要使用的信道模型，分析各种模型下的输入信号后的仿真和分析(On the basis of the study in multi-path propagation theory, characteristics and mathematics models of wireless channels, and the analysis of references from both domestic and international realm, this thesis will generalize the detailed classification of wireless mobile communication channels, and the typical small-scale fading modules (Rayleigh fading and Rice fading), which the signals has encountered while transmitted in communication channels. )

电影院排队系统仿真程序，随机人数到达电影院，计算最短排队时间，排队人数，生成图形(Cinema queuing system simulation program, random number to reach the cinema, computing the shortest queue time, queue size, generated graphics)

轨迹优化源代码，用切比雪夫法求解最优控制问题。···(trajectory optimal )

波达方向估计算法仿真中的基于解相干的MUSIC源程序 中的矩阵分解算法(Simulation of DOA estimation of MUSIC-based decoherence source in the matrix decomposition algorithm)

现代电力系统分析书后PQ分解潮流计算程序(Modern power system analysis book PQ decomposition flow calculation procedures)

Matlab程序，GUI窗口 用FFT程序计算有限长度正弦信号y=sin(2*pi*f*t) ,0<=t<=N*T(FFT program calculate the finite length of the sinusoidal signal y = sin (2* pi* f* t), 0 < = t < = N* T respectively the DFT results obtained and analyzed and discussed in the following cases: a) the signal frequency f = 50Hz, the sampling the credited with N = 32, the sampling interval T = 0.000625sb) signal frequency f = 50Hz, the sampling points of N = 32, the sampling interval T = 0.005sc), the signal frequency f = 50 Hz, the sampling points N = 32, the sampling interval T = 0.0046875sd) signal frequency f = 50Hz, the sampling points of N = 32, the sampled interval T = 0.004se) signal frequency f = 50Hz, the sampling points of N = 64, the sampling interval the T = 0.000625sf) signal frequency f = 250Hz, the sampling points N = 32, the sampling interval T = 0.005sg) c) a signal-post 32, to do a 64-point FFT)

利用GUI功能完成包括AM，DSB，SSB，FM模拟调制在内的调制解调过程，参数可调。(GUI for analog modulation & demodulation, including AM, DSB, SSB, FM.)

自己编写的算法，船舶航向控制算法，费了很大的力气，请珍惜(Algorithm I have written, ship course control algorithm, spent a lot of effort, please cherish)

Neural network for regression issues

speech ceps pitch detection