multilevelPWM_Control_cbit

matlab与外部程序接口技术，想进一步学习matlab的好资料。(matlab with the external program interface technology, to further study matlab good information.)

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)

Burg外推算法，采用matlab实现，调试通过，希望对大家有用(Burg algorithm complishede with matlab)

所有图论问题的MATLAB程序，包括最短路等等(MATLAB graph theory problem of all procedures, including the short-circuit, etc.)

对算法中的聚类数 c 和加权指数 m 给出优选方法，进而而出了 fcm 参数优选自适应算法(The clustering algorithm and the number of c-weighted index m gives the preferred method, and then out of the adaptive parameter optimization algorithm fcm)

wind turbine r11 model

说明：  Osada算法A3距离实现。C与matlab混合编程。(Osada algorithm A3 distance. C and matlab mixed programming.)

对生成的随机序列进行自相关（平衡性）进行测试。(Autocorrelation test )

根据主子惯性导航系统角速率之差计算 挠曲 该代码只是个计算的例子,提供方法.传递对准中的挠曲和柑臂计算,(Master inertial navigation system based on the difference between the calculated deflection angle rate is just a calculation of the code examples provide a way. Transfer alignment and orange arm deflection calculation)

无线传感器网络所具有的众多类型的传感器，可探测包括地震、电磁、温度、湿度、噪声、光强度、压力、土壤成分、移动物体的大小、速度和方向等周边环境中多种多样的现象。基于MEMS的微传感技术和无线联网技术为无线传感器网络赋予了广阔的应用前景。这些潜在的应用领域可以归纳为:军事、航空、反恐、防爆、救灾、环境、医疗、保健、家居、工业、商业等领域。(Wireless sensor networks have many types of sensors can detect, including seismic, electromagnetic, temperature, humidity, noise, light intensity, pressure, soil composition, the size of moving objects, velocity and direction of the surrounding environment, a variety of phenomena. MEMS based micro-sensor technology and wireless networking technology for wireless sensor networks given the broad application prospects. These potential applications can be summarized as: military, aviation, terrorism, explosion, disaster relief, environment, health, health, home, industrial, commercial and other fields.)