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三相感应电动机单相短路故障的瞬态过程仿真，大家一起学习(Three-phase induction motor single-phase short-circuit fault transient process simulation, we study together)

matlab 入门书，初学者和有经验的人士都有用处。(A Guide to MATLAB for Beginners and Experienced Users by Hunt Lipsman and Rosenberg)

伪近邻法确定相空间重构嵌入维数，内涵已生成的典型混沌信号，可以直接使用。(Pseudo-neighbor method to determine the embedding dimension of phase space reconstruction, connotation typical chaotic signal generated can be used directly.)

拉普拉斯映射的基本思想是在高维空间中离得 很近的点投影到低维空间中的像也应该离得很近,最终求解归结到图拉普拉斯算子的广义特征值问题,本例为拉普拉斯调用函数,对于学习维数约简的同学或许有帮助.(The basic idea is the Laplace mapping from very near the point of projection in the high-dimensional space as low-dimensional space should be very close, and ultimately solving the generalized eigenvalue comes down to Figure Laplace operator problem, in this case call the function for the Laplace, the learning of students of dimensionality reduction may be helpful.)

说明：  实验目的：对带通信号及其低通等效信号进行分析和仿真。 实验内容： 1、参考教材P24面例子，考虑如下带通信号，编写仿真程序实现，得出仿真结果。 （1） 画出该信号和它的幅度谱； （2） 求出该信号的解析信号，并画出它的幅度谱； （3） 求出并画出该信号的包络； （4） 分别假设 和 ，求该信号的低通等效，并画出它的幅度谱。 2、设带通信号为： 通过Matlab编程仿真实现： （1） 画出该信号和他的谱函数（包括幅度和相位） （2） 确定并画出解析信号的谱函数（包括幅度和相位） （3） 画出该信号的包络。 （步骤一，二中，设采样间隔为ts=0.002s）。 (Purpose: To Bandpass and lowpass equivalent signal analysis and simulation. Experiment: 1, reference materials P24 plane example, consider the following bandpass signals, writing simulation program implementation, simulation results obtained. (1) Draw the signal and its amplitude spectrum (2) Find the analytical signal of the signal, and plot its amplitude spectrum (3) Find and draw the envelope of the signal and (4) respectively assumptions and seeking the equivalent lowpass signal and draw its amplitude spectrum. 2, is provided with a communication number: Simulation by Matlab programming: (1) Draw the signal and his spectral function (including amplitude and phase) (2) to identify and draw the analytic signal spectral function (including amplitude and phase) (3) Draw the envelope of the signal. (Step one, two, and set the sampling interval ts = 0.002s).)

cooperative communication sources.

倒立摆的MATLAB实现，很有研究价值，欢迎下载(Inverted Pendulum MATLAB implementation, the value of great research)

Survival times are data that measure follow-up time from a defined starting point to the occurrence of a given event, for example the time from the beginning to the end of a remission period or the time from the diagnosis of a disease to death. Standard statistical techniques cannot usually be applied because the underlying distribution is rarely Normal and the data are often ‘censored’. A survival time is described as censored when there is a follow-up time but the event has not yet occurred or is not known to have occurred. For example, if remission time is being studied and the patient is still in remission at the end of the study, then that patient’s remission time would be censored. If a patient for some reason drops out of a study before the end of the study period, then that patient’s follow-up time would also be considered to be

Chapter 6 DSP course

convolution coding program using viterabi algorithm