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一篇非常帮的文章,在国际刊物IEEE上发表的,关于忙信道估计方面的(A very helping article published in international journals IEEE, and on the busy channel estimation in)

用于HDB3的编解码，用matlab仿真，有完整的程序(Used for encoding and decoding of HDB3, matlab simulation, the complete program)

说明：  实验目的：对带通信号及其低通等效信号进行分析和仿真。 实验内容： 1、参考教材P24面例子，考虑如下带通信号，编写仿真程序实现，得出仿真结果。 （1） 画出该信号和它的幅度谱； （2） 求出该信号的解析信号，并画出它的幅度谱； （3） 求出并画出该信号的包络； （4） 分别假设 和 ，求该信号的低通等效，并画出它的幅度谱。 2、设带通信号为： 通过Matlab编程仿真实现： （1） 画出该信号和他的谱函数（包括幅度和相位） （2） 确定并画出解析信号的谱函数（包括幅度和相位） （3） 画出该信号的包络。 （步骤一，二中，设采样间隔为ts=0.002s）。 (Purpose: To Bandpass and lowpass equivalent signal analysis and simulation. Experiment: 1, reference materials P24 plane example, consider the following bandpass signals, writing simulation program implementation, simulation results obtained. (1) Draw the signal and its amplitude spectrum (2) Find the analytical signal of the signal, and plot its amplitude spectrum (3) Find and draw the envelope of the signal and (4) respectively assumptions and seeking the equivalent lowpass signal and draw its amplitude spectrum. 2, is provided with a communication number: Simulation by Matlab programming: (1) Draw the signal and his spectral function (including amplitude and phase) (2) to identify and draw the analytic signal spectral function (including amplitude and phase) (3) Draw the envelope of the signal. (Step one, two, and set the sampling interval ts = 0.002s).)

Inference program of Bayesian network (Inference program of Bayesian network)

通信系统与建模仿真实例精讲第二章参考程序程序(Examples of modeling and simulation of communication systems with reference to Chapter II Procedure for Jingjiang)

基于SVR的线性系统的辨识和校验，辨识信号采用幅值为2的随机信号(Linear systems based on SVR identification and validation, identification signal using random signal amplitude of 2)

说明：  算谐振频率的一个小程序，并结果附图，很有参考价值(Operator resonant frequency of a small program, and the results of drawings, of great reference value to)

matlab常见错误的提示和原因以及解决方法(matlab tips for the causes of common errors and solutions)

关于UKF的仿真程序，注释详细，还包含有两个演示程序，分别针对一维和二维的跟踪情况，与EKF作比较，充分说明了UKF在非线性情况下优于EKF(The simulation program on the UKF, comments in detail, also includes two demo program, respectively for the one-dimensional and two-dimensional tracking of cases, compared with the EKF, UKF speaks better than the EKF in nonlinear case)

说明：  MATLAB中应用的混沌时间序列分析的1.0版本(Application of MATLAB in the analysis of chaotic time series version 1.0)