mcc

blackman window for filter matlab code with example

说明：  最小二乘法的简单应用，以及算法实现，作为参考。(Simple application of least squares, and the algorithm, as a reference.)

混沌通信系统mA-ACSK的仿真，画出理论情况下和实际仿真情况下的几种误码率去曲线图(Exact Analytical Bit Error Rates for Multiple Access Chaos-Based Communication Systems )

保证准确无误，是学习通信的好帮手，基于SVPWM的三电平逆变的matlab仿真，部分实现了追踪测速迭代松弛算法。( Ensure accurate communication is learning a good helper, Based on SVPWM three-level inverter matlab simulation, Partially achieved tracking speed iterative relaxation algorithm.)

Array Signal Processing-CONCEPTS AND TECHNIQUES 有关阵信号处理的非常好的一本外文书，与大家分享(Array Signal Processing-CONCEPTS AND TECHNIQUES signal processing)

说明：  旅行商问题，起点与终点为同一点，求最短路径，(MTSPF_GA Fixed Multiple Traveling Salesmen Problem (M-TSP) Genetic Algorithm (GA))

这是用复化simpson方法求解数值积分的一种方法(This is the method used to solve complex numerical integration of the simpson' s method)

PWM RECTIFIER 3 PHASES

matlab下的HalfBridgeMMC系统模型，对于初学者很有帮助，建议大家多多交流，互相帮助(The HalfBridgeMMC system model under matlab is very helpful for beginners. It is recommended that you exchange more and help each other.)

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.)