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高斯脉冲及高斯一阶导、高斯二阶导产生时域图(Gaussian pulse and a Gaussian derivative, Gaussian, when the second derivative domain plan)

小波分析数据包，用于信号的时频分析。通常用于信号的分析(Wavelet packet analysis, used in the signal time-frequency analysis)

说明：  MATLAB中的图像放大基于数字图像处理（最近邻）(MATLAB image magnification of based on digital image processing (the))

有关通信系统中信道同步的问题，希望与大家切磋，多多指教。(the Channel Communication System synchronization issues, and we hope that the discussions and exhibitions.)

l1 adaptive control tutorial demo2.

说明：  运用龙格库塔算法求解朗之万方程，进而实现随机共振系统(The use of Runge-Kutta algorithm for solving Langevin equation, and then the realization of stochastic resonance systems)

matlab中用来作单位根检测的程序，内有使用说明(matlab in the unit root test used for the procedure, there are instructions)

递归法求解整数划分。 整数划分，是指把一个正整数n写成如下形式： n=m1+m2+…+mi （其中mi为正整数，并且1 <= mi <= n），则{m1,m2,...,mi}为n的一个划分。 如果{m1,m2,...,mi}中的最大值不超过m，即max(m1,m2,...,mi)<=m，则称它属于n的一个m划分。这里我们记n的m划分的个数为f(n,m) (Recursive method integer division. Integer division, refers to a positive integer n written as follows: n = m1+m2+ ...+mi (where mi is a positive integer, and 1 < = mi < = n), then {m1, m2, ..., mi} is a division of n. If {m1, m2, ..., mi} does not exceed the maximum value of m, i.e., max (m1, m2, ..., mi) < = m, m n is said that it belongs to a division. Where m is the number of division n our mind is f (n, m) )

MATLAB中文帮助.chm 如果你是MATLAB的初学者，你应该从阅读矩阵操作开始。最重要的是要学习如何输入矩阵，如何使用：（冒号）算子，以及如何调用函数。 在你掌握了基础之后，你应该阅读其他章节并运行实例。(MATLAB Chinese help. Chm If you are a MATLAB beginner, you should read the matrix from the start operation. The most important thing is to learn how to enter the matrix, how to use: (colon) operator, and how to call the function. You mastered the basic, you should read the other sections and run the examples.)

是一个完成循环卷积的MATLAB程序 实现方法实在时域完成的，不同于简单的频域实现，有较好的注释，一看就能懂，用的是矩阵的方法实现的(Is a cyclic convolution achieve implementation of the MATLAB program with it, the finish time domain, frequency domain is different from the simple implementation, there is a good note, one can look to understand, are used in the implementation matrix)