power_transfosat

Optics Caracters Reconogintion

ASK function, this is a block that has three input and one output. the input are the two carrier that have different amplitute, and the digital signal representing the information or data to be modulated.

时频分析,用于对雷达、通信、声纳、图像、生物医学等的信号检测与时频分析处理(time-frequency analysis)

INS和GPS基于位置速度的松组合程序，已经验证了，滤波收敛，程序中说明了如何选取滤波参数(INS/GPS integrated navigation ，Kalman filter，loosely integrated based on position and velocity)

MIT人工智能实验室的目标识别的源码,数据模型归一化，模态振动，使用matlab实现智能预测控制算法。( MIT Artificial Intelligence Laboratory identification of the target source, Normalized data model, modal vibration, Use matlab intelligent predictive control algorithm.)

说明：  selective harmonics elimination

博弈论matlab算法 二人博弈算，给出来详细的代码和结果(game thoery matlab)

高等光学仿真源程序，包括，电磁理论基础，光纤波导，激光原理等(Advanced optical simulation source, including electromagnetic theory based fiber waveguide laser principle, etc.)

原对偶内点法的matlab程序，应用在matpower潮流计算中(Primal-dual interior point method matlab procedures used in the calculation of the trend matpower)

小波变换进行变速箱故障诊断 首先将s1和s2信号时域谱（s1代表维修前的振动信号，s2代表维修后的振动信号），画出来进行对比，会发现s1信号的振动幅值会比较高；然后对s1和s2分别进行小波分解并画出各层的时域谱，只对比s1和s2分后的最高时域谱，s2更加的具有周期性，且幅值较小，s2周期性不够明显，且振动过于密集。分析完时域谱后开始分析频谱，首先对原信号s1和s2fft转换，得到频谱图，如图，然后再对小波分析后高频部分进行fft转换，做出频谱图。对比后我们发现，在f 2375HZ出（也就是齿轮的啮合频率），s1信号频谱幅值会有急剧的升高，然后，其谐波的幅值也会增大。所以可以推断出该维修前的增速箱的齿轮可能出现问题。(Gearbox fault diagnosis based on wavelet transform s1 and s2 first time domain signal spectrum (s1 behalf of the vibration signal before maintenance, vibration signal s2 representative of repaired), drawn comparison, you will find a signal s1 vibration amplitude will be higher then s1 and s2 respectively wavelet decomposition and draw the layers of time-domain spectrum to only a maximum time domain spectroscopy s1 and s2 points after, s2 is more cyclical and smaller magnitude, s2 cyclical enough obviously, and the vibration is too dense. End domain spectral analysis after the beginning of the spectrum analysis, the first of the original signal s1 and s2fft conversion to give the spectrum, as shown, and then after the high frequency part of wavelet analysis fft transformation to make spectrum. We found that after the comparison, at f 2375HZ out (i.e. the gear mesh frequency), there will be a sharp increase in the amplitude spectrum of the signal s1, and then, the amplitude of the ha)