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模拟光在二维介质中传输，用FDTD方法，Matlab程序编写．(in a two-dimensional simulation of optical transmission medium, using the FDTD method, Matlab programming.)

提出了一个混沌系统,并对该系统的基本动力学特性进行了深入研究.得到该系统的Lyapunov指数、Lyapunov 维数,给出了Poincaré映射图以及时域图和相图.运用电子工作平台EWB软件对实现该新混沌系统的振荡器电路进行了仿真实验.经过数值仿真和电路系统仿真证实该系统与以往发现的混沌吸引子并不拓扑等价,属于新的混沌系统.(Presents a chaotic system, and the basic dynamic characteristics of the system were studied. Get Lyapunov exponent of the system, Lyapunov dimension, given the Poincar maps and graphs and time-domain phase diagram using electronic work platform EWB software for implementing the new chaotic system oscillator circuit simulation experiments through numerical simulation and circuit and system simulation confirmed that the system ever discovered chaotic attractor is not topologically equivalent, is the new chaotic system.)

these m files contain the solution of some problems in the book "communication system" by Haykin

这是一个基本的数模题目的套路，分析数模聚类问题，例子是乳腺癌的诊断模型，过程为标准化数据，逐步回归，分析主要因素，聚类方法有距离法和神经网络法，均附有源码和解释说明(This is an essential topic of routine digital-analog, digital-analog cluster analysis problem example is the breast cancer diagnostic model, the process for the standardized data, stepwise regression, analysis of major factors, clustering methods from the method and neural network are with source code and explanations)

实现输入一串数字，然后matlab可以将数字对应的蜂鸣音播放出来（类似于电话的拨号）(Achieve input a string of numbers, then you can figure corresponding matlab beep play out (similar to dial-up phone))

在MATLAB中实现图像的局部二值模式处理，运行test函数即可使用。(Achieve a partial image in MATLAB binary mode processing, running test functions can be used.)

求解平方根的改进算法，运用U(k,i)=U(k,i)-U(q,k)*U(q,i)/U(q,q)；L(i,k)=U(k,i)/U(k,k)(An improved algorithm for solving square root, the use of U (k, i) = U (k, i)-U (q, k)* U (q, i)/U (q, q) L (i, k) = U (k, i)/U (k, k))

function Luv_back = rgb2luv(Im_rgb) takes an image in Rgb coords and returns either a vector or an image in Luv coords, depending on Type (Image or vector).

一个用于计算时间的界面，可根据需要进行修改(An interface for the computing time can be modified as needed)

A MIMO multiplexing system with NT transmit and NR = NT receive antennas is designed. The main challenge for MIMO systems lies in the non-orthogonality of the transmission channel. This can be solved by turbo processing. Turbo channel encoder is used for converting the bits in its suitable form. Then different M-ary QAM is compared.