MATLAB

说明：  非常实用的OFDM matlab程序，只有一个m文件，程序简单易懂，包括完整的OFDM调制解调过程，能够正确运行，对OFDM的初学者非常有帮助。(Very useful OFDM matlab program, there is only one m file, the program simple and easy to understand, including the complete OFDM modulation and demodulation process to run correctly on the OFDM beginner very helpful.)

时间序列的贝叶斯突变检测算法MATLAB源码.rar

说明：  小波去噪指标-信噪比，用这个程序可以实现(Wavelet Denoising indicator- signal to noise ratio can be achieved with this procedure)

对机械振动信号的预处理，以及滤波，频域变换等(The pretreatment of the mechanical vibration signal, and filtering, frequency domain transform, etc.)

truetime的例子，控制类中对简单PID的例子(TrueTime example of a simple PID control program)

多重分形领域中Hurst指数的计算及主程序运行(Multifractal field Hurst exponent calculation and main run)

一个二进制PAM通信系统，使用滚降系数0.4的升余弦波形，速率4800bps，仿真早迟门的工作(A binary PAM communication systems, the use of roll-off factor of 0.4 or cosine waveform, rate 4800bps, early-late gate simulation work)

Digital communication labs,

这是一个GMM模型的语音识别代码 非常详细 而且实用。(This is a GMM model for speech recognition is very detailed and useful code.)

这是一个简单的FFT为无电位1 +1 +1 Ð 薛定谔方程的光束传播方法。如果该软件灵活，允许引入的术语（如果是极少数需要包括色散效应高阶导数）。例如，如果一个人渴望解决的一个方程的形式： （四/ dz的+ Ð ^ 2/dx ^ 2 - 0.25 * Ð ^ 3/dx ^ 3）== 0 Ÿ 它可以解决使用以下代码： Ž = linspace（0,1,512） x = linspace（-5,5,1024） psi0 =进出口（- x的。^ 2） Ð = D_lateral1D（十，2）-0.25 * D_lateral1D（十，3） 字段= LinearBPM（psi0，有D，Z） 凡D_lateral1D是一个函数，提供“取代”的微分算子。 这个函数是在一个非线性的BPM，我曾对（分步，谱方法等），将提交给我，当我完成他们的文件和组织功能更复杂的设置非常初期阶段。 (This is a simple FFT based beam propagation method for potential-free 1+1+1D Schrodinger equation. The software if flexible and allows to introduce high-order derivatives in the term (very handful if is needed to include dispersion effects). For example, if one desires to solve an equation in the form: (d/dz+ d^2/dx^2- 0.25*d^3/dx^3)Y == 0 It can be solved using the following code: z=linspace(0,1,512) x=linspace(-5,5,1024) psi0=exp(-x.^2) D=D_lateral1D(x,2)-0.25*D_lateral1D(x,3) field=LinearBPM(psi0,D,z) Where D_lateral1D is a provided function that "replaces" the derivative operator. This function is a very early stage in a more complex set of non-linear BPM functions that I have made (split-step, spectral methods, etc.) and I will submit them when I finish their documentation and organization. Sorry for my English, I m eager for your comments. )