一个使用matlab进行音频信息处理的实例，对输入的语音信号，进行合成与分析。...

语音工具箱，包括lpc， cepstrum， 等等语音处理工具，配有音频源文件，方便使用!(speech processing toolbox, contains lpc, cepstrum, and so on.)

通过编写该程序，首先输入点，然后点击拟合。(Through the preparation of the program, the first input point, and then click on the fitting.)

ALOHA协议程序。[Traffic,S,Delay]=aloha(capture)(ALOHA protocol procedures。[Traffic,S,Delay]=aloha(capture))

[x,f]= L01p_e(c,A,b,N)用枚举法求解下列 0-1线性规划问题min f=c *x, s.t. A*x<=b,x的分量全为整数0或1, 其中N表示约束条件 Ax ≤ b中的前N个是等式，N= 0时可以省略。 返回结果x是最优解，f是最优解处的函数值。 ([X, f] = L01p_e (c, A, b, N) with the following enumeration method for solving linear programming problems 0-1 min f = c ' * x, st A* x < = b, x is an integer of all components 0 or 1, where N represents the constraints Ax ≤ b in the equation of the first N, N = 0 can be omitted. Return result x is the optimal solution, f is the function value at the optimal solution.)

weiner and pseudo inverse filter

基于matlab GUI界面设计,主要是基于mtlab的程序，独立成分分析算法降低原始数据噪声，基于负熵最大的独立分量分析，表示出两帧图像间各个像素点的相对情况，具有丰富的参数选项。

模式识别分类器的设计，此为LMS法源码，经调试通过。所用数据为标准IRIS。-Pattern recognition classifier design, the source for the LMS method, adopted by the debugger. Data used as the standard IRIS.

RFID是射频识别技术的英文(Radio Frequency Identification)的缩写，射频识别技术是20世纪90年代开始兴起的一种自动识别技术，射频识别技术是一项利用射频信号通过空间耦合(交变磁场或电磁场)实现无接触信息传递并通过所传递的信息达到识别目的的技术。 (RFID is radio frequency identification technology in English (Radio Frequency Identification) stands for radio frequency identification technology is the 20th century, the rise of the 90s an automatic identification technology, radio frequency identification technology is a radio frequency signal through space coupling (alternating magnetic field or electromagnetic field ) to achieve non-contact information transmission and pass the message to identify the purpose of the technology.)

matlab程序 输入txt文档即可计算混沌时间序列的李雅普诺夫指数(Lyapunov matlab)

二维粘弹性介质中波的传播的解析形式。应用Carcione等在1988年发表的《WAVE PROPAGATION SIMULATION IN A LINEAR VISCOELASTIC MEDIUM》一文中的方法，更加详细的介绍见英文描述。该代码对于做波场模拟的同学有很好的参考价值。( MATLABScript for obtaning the analytical solution for 2D wave propagation in a viscoelastic medium, based on the Appendix B of paper of Carcione et al. (1988)(1), corrected in (2). The source used is a Ricker wavelet in the y velocity component. A figure of the source temporal function and its inverse Fourier transform are provided to verify the good working of the method. Also works for elastic variables by substituting the values of vp and vs by real constant ones (vp_0 & vs_0). Attenuation is implemented by GMB-EK rheology presented in (4) and thoroughfully explained in (3). In order to make a proper comparison with numerical data it is recommended to either use the same rheology in both the numerical and the analytical. It is also possible to get an almost constant Q value by increasing a lot the number of mechanisms used in both the numerical and the analytical solutions, thus minimizing the effects of the Q fitting in the comparison.)