chap1

说明：  matlab环境下粒子滤波器demo，解压后可直接运行(particle filter matlab environment demo, after decompression can be directly run)

scr power rectifier

高压直流输电模型，6个脉动模型，仿真故障，参考电流变化(HVDC model)

l1_ls 是一个目前最好的求解稀疏矩阵方程解的算法之一，这是作者发布的最新 MATLAB 源代码。(l1_ls: A Matlab solver for l1-regularized least squares problems. BETA version, May 10 2008 COPYRIGHT (c) 2007 Kwangmoo Koh, Seung-Jean Kim and Stephen Boyd. Permission to use, copy, modify, and distribute this software for any purpose without fee is hereby granted, provided that this entire notice is included in all copies of any software which is or includes a copy or modification of this software and in all copies of the supporting documentation for such software. This software is being provided "as is", without any express or implied warranty. In particular, the authors do not make any representation or warranty of any kind concerning the merchantability of this software or its fitness for any particular purpose. )

此文档为word文档，给出了F-score的数学计算公式，并将公式用MATLAB写成程序(This document is a word document, gives the F-score mathematical formulation, and the MATLAB program of computing F-score.)

说明：  一种FxLMS自适应滤波算法 LMS自适应滤波算法RLS自适应滤波算法变换域自适应滤波算法仿射投影算法共扼梯度算法基于子带分解的自适应滤波算法基于QR分解的自适应滤波算法算法性能评价变步长的自适应滤波算法时变系统跟踪速度与收敛精度方面对算法调整步长因子u的矛盾,但变步长中的其它参数的选取还需实验来确定,应用起来不太方便。对RLS算法的各种改进,其目的均是保留RLS算法收敛速度快的特点而降低其计算复杂性。变换域类算法亦是想通过作某些正交变换使输入信号自相关矩阵的特征值发散程度变小,提高收敛速度。而仿射投影算法的性能介于LMS算法和RLS算法之间。共扼梯度自适应滤波算法的提出是为了降低RLS类算法的复杂性和克服某些快速RLS算法存在的数值稳定性问题。信号的子带分解能降低输入信号的自相关矩阵的特征值发散程度,从而加快自适应滤波算法的收敛速度,同时便于并行处理,带来了一定的灵活性。(A FXLMS adaptive filtering algorithm)

说明：  详细用MATLAB程序编程灰狼算法，用于求密度函数的最优参数(MATLAB program programming grey Wolf algorithm, for density function to find the optimal parameters)

超宽带二进制相位调制和功率谱密度、波形图(Ultra-wideband binary-phase modulation and power spectral density, waveform graph)

说明：  线性方程组的各种解法：求逆法、分解法、迭代法、特殊解法、非奇次线性方程组的解法(A variety of linear equations method: inverse method, decomposition method, iterative method, a special solution, non-singular at the solution of linear equations)

现代数字信号处理中的lms及kalman算法的源代码(Lms and kalman modern digital signal processing algorithm source code)