sec_wavelet

光通信中归零型（占空比可调）差分相位调制信号建模与仿真分析(Optical Communication zero type (duty cycle adjustable) differential phase modulation signal modeling and simulation analysis)

这是模式分类一书中第五章中的基本感知算法的matlab代码。很有价值！(This is the pattern classification in chapter V of the book' s basic perception algorithm matlab code. Great value!)

电力系统谐波发生器的MATLAB函数程序，可以产生各种谐波信号，包括谐波、电压骤升、电压中断、电压骤降、暂态脉冲信号等。(Power system harmonic generator MATLAB function procedures, can produce a variety of harmonic signals, including harmonics, voltage swells, voltage interruptions, voltage dips, transient pulse signal.)

单相光伏并网逆变器 孤岛检测 双环控制 MPPT最大功率追踪(Single-phase photovoltaic inverter islanding detection dual-loop control)

改进的多目标粒子群算法，成功解决了多目标优化的经典问题，比如ZDT,KUR,SCH经典优化问题等，只需要对f1,f2函数修改后就可以应用。(Improved many target particle swarm algorithm, success in solving the multi-objective optimization of the classic problems, such as ZDT, KUR, SCH classic optimization problem, only to f1 and f2 function after modification can be used. )

功率谱：直接法，间接法，加窗（hamming ,hanning, 矩形）(Power spectrum: the direct method, indirect method, window (hamming, hanning, rectangle))

通过VC++ 6.0实现STL文件的显示以及切片处理(Achieved through the VC++ 6.0 STL file handling display and sliced)

计算 Lyapunov 指数， 非常方便，我用过的。(Calculate the Lyapunov exponent)

考虑阴影效应，多普勒频移等的影响，用于描述瑞利衰落信号的信号特征(Take into account the shadow effect, Doppler shift, etc., used to describe the signal characteristics of the Rayleigh fading signal)

传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能： 1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线； 2） 给出了最陡下降法以及LMS算法的计算公式； 3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线； 5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； 7）最终对结果进行了分析，具体见压缩包的word文档。 (Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:   A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve 2 ) gives the steepest descent method and the LMS algorithm formula 3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl)