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自适应最小均方lms算法，用matlab的m文件(Adaptive recursive least squares lms algorithm)

it s a viterbi coding model , including awgn and so on..

本例演示：1、画两个同心圆，其中一个半径由独立输入宗量定义，另一个由变长度输入宗量的第一个元素定义，可以用任何指定的色彩线形绘制；2、变长度输入输出宗量在程序中的构成和使用；3、变长度输入输出宗量的对外使用表现(the cases demonstrated : a painting of two concentric circles, with a radius of independent input variables defined Another variable length from the importation of the first cases of an element of the definition, can be used in any linear color rendering; 2. Variable length input and output variables in the process of composition and use; 3, variable length input and output variables in the external use of performance)

2014 Continuous Learning of Human Activity Models - imp(2014 Continuous Learning of Human Activity Models- imp)

给出了用雅克比方法解线性方程组的方法，文中给出了解三个线性方程的雅克比法(In this paper, a method of Jacques than the method of solving linear equations )

采用模糊数学语言对按一定的要求进行描述和分类的数学方法称为模糊聚类分析,模糊聚类分析Matlab程序(Mathematical methods described and classified according to certain requirements using fuzzy mathematical language called the fuzzy clustering analysis, fuzzy clustering analysis Matlab program)

说明：  1、LargestLyapunov_example1.m 程序主文件1，直接运行此文件即可 2、LargestLyapunov_example2.m 程序主文件2，直接运行此文件即可 3、LorenzData.dll 产生 Lorenz 离散数据 4、PhaSpaRecon.m 相空间重构 5、Lyapunov_luzhenbo.dll Lyapunov 计算主函数 6、lyapunov_buffer.dll Lyapunov 计算缓存(1, LargestLyapunov_example1.m procedure master file 1, run this file directly to 2, LargestLyapunov_example2.m procedure master file 2, run this file directly to 3, LorenzData.dll generated Lorenz discrete data 4, PhaSpaRecon.m phase space reconstruction 5, Lyapunov_luzhenbo.dll Lyapunov calculation of the main function of 6, lyapunov_buffer.dll Lyapunov cache calculation)

这一段源代码为瑞利衰落信道的实现，代码比较简单，适合初学者学习(This section of the source code for the realization of Rayleigh fading channel, the code is relatively simple, suitable for beginners to learn)

信号与系统matlab作业，实现卷积操作，供学习信号与系统的同学们参考(1. Define two signals as: x1[n] =   n, 0 < n  N1+1 2 N1 − n+ 1, N1+1 2 < n  N1 0, elsewhere and x2[n] =  1, 0 < n  N2 0, elsewhere We let N1 = 999 and N2 = 500. (a) (30 )Write a MATLAB function myconv to compute x1[n]x2[n] where  denotes the convolution sum. You have to plot your result and attach it in your report. You may use the MATLAB function conv to check whether your result is correct.)

Matlab plot函数使用方法（详细）( Matlab plot function using method (detailed))