xiaoboxishu2

vector control of mas

牛顿插值Matlab编程实现牛顿插值Matlab编程实现(Newton Interpolation Matlab programming )

Wigner-Ville分布相关程序及函数(Wigner-Ville distribution-related procedures and functions)

利用x(n)=Asin(pi*n/16)+z(n),z(n)为mean=0，var=0.1高斯白噪声，x(n)的SNR为10dB,s(n)=Asin(pi*n/16-5*pi),得出了x(n)和s(n)互相关函数r(n)，以及二者的卷积和.(The utilization for the mean of x (n) = Asin (pi* n/16)+ z (n), z (n) = 0, var = 0.1 Gaussian white noise, x (n) is the SNR as 10dB, s (n) =Asin (pi* n/16-5* pi), draw the x (n) and s (n) the cross-correlation function r (n), as well as the convolution of the two.)

说明：  可以实现柴油发电机独立带负载运行，负载有常规负载和电动机负载，包含调速器部分和励磁控制部分(The diesel generator can operate independently with load. The load includes conventional load and motor load, including governor part and excitation control part.)

Gerald Teschl s matlab files for german book: "Mathematik für Informatiker 2: Analysis und Statistik" ISBN "9783540724513"

pi/4 DQPSK 系统仿真程序 pi/4 DQPSK 系统仿真程序 pi/4 DQPSK 系统仿真程序 pi/4 DQPSK 系统仿真程序 pi/4 DQPSK 系统仿真程序 pi/4 DQPSK 系统仿真程序 pi/4 DQPSK 系统仿真程序(pi/4 DQPSK system simulation program pi/4 DQPSK system simulation program pi/4 DQPSK system simulation program pi/4 DQPSK system simulation program pi/4 DQPSK system simulation program pi/4 DQPSK system simulation program pi/4 DQPSK system simulation program)

synchonous generator

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

小波包变换可以对高频部分提供更精细的分解，而且这种分解既无冗余，也无疏漏，所以对包含大量中、高频信息的信号能够进行更好的时频局部化分析。(Wavelet packet transform can provide the high frequency part of the finer decomposition, and this decomposition is neither redundant nor oversight, so the signal contains a large amount of high frequency information can be a better time-frequency localization analysis.)