protocol_analysis

说明：  蚂蚁算法的matlab实现规则来源于大自然的进化。而大自然的进化根据刚才讲的也体现为多样性和正反馈的巧妙结合。而这样的巧妙结合又是为什么呢？为什么在你眼前呈现的世界是如此栩栩如生呢？答案在于环境造就了这一切，之所以你看到栩栩如生的世界，是因为那些不能够适应环境的多样性与正反馈的结合都已经死掉了，被环境淘汰了！(Ant Algorithm matlab from the realization of the rules of nature and evolution. The evolutionary nature of the basis of the speakers also reflected in the diversity and the unique combination of positive feedback. This ingenious combination is Why? Why is presented in front of your eyes the world is so lifelike it? The answer lies in the environment has created all this, because you see life-like world, is because those who could not adapt to the environment of diversity and the combination of positive feedback have been dead and was out of the environment!)

distributed-generation_distribution-system_Newton-Laphson in matlab mfile

说明：  最小范数算法 波达方向估计 通信信号处理(Minimum norm algorithm for DOA estimation Communication Signal Processing)

it is a software ti localize wireless sensor network

separation of sounds

由我自己建立的Matlab2012b无人机飞行控制系统模型，并与SIMULINK的Stateflow工具在一起，实现了飞行控制，由Stateflow提供了控制策略，由SIMULINK构建了无人机模型的被控对象，并结合PID控制，实现全过程的监控(Matlab2012b UAV flight control system model created by my own, and with the simulink in Stateflow tools together to form one of its flight, a control model provides control policy consists stateflow, UAV model built by the simulink as a controlled object, combined with PID control and monitoring of the whole process of realization)

基于无轴承同步磁阻电机非线性解偶控制的径向力模块仿真(Simulation modules radial forces bearingless linear synchronous reluctance machine control decouple)

说明：  实现多尺度熵的算法 多尺度熵（Multiscale entropy, MSE）将样本熵扩展到多个时间尺度，以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性，Costa等人（2002,2005）提出了多尺度熵。(MultiScale Entropy There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)

设计了巴特沃斯、车比雪夫I，Ⅱ型、椭圆滤波器，并有对心电信号的低通处理。(Designed Butterworth, Chebyshev car I, Ⅱ type, Elliptic filters, as well as on the ECG of the low-pass deal.)

同步电机状态空间模型，采用matlab S函数(synchronous machine state space model using matlab S-function)