zhengzhexingceliang

单端故障解二次方程法算法，结合PSCAD使用，得到故障测距距离(Single-ended fault solution algorithm quadratic equation method, combined with PSCAD used by fault location distance)

underwatter communication

simulink model of the upconverter and downconverter

matlab模拟的滤波器 高通 低通 带通 带限 各种滤波器应有尽有 非常齐全 物超所值(Matlab simulation filter high-pass low-pass band-pass band-limited Various filters on everything)

说明：  频域内的模态参数识别方法：加权最小二乘迭代法。该程序适合刚入门模态参数识别并使用matlab进行编程的人员学习交流。(Method for identifying modal parameters in frequency domain: weighted least squares iterative method. This program is suitable for people who have just started modal parameter identification and use matlab to program and learn to communicate.)

zcr : ampzcr.m -- short time energy and zero crossing rate program vad.m -- endpoint detection

teager能量算子MATLAB代码，应用于信号分析(Teager Energy Operator MATLAB Code)

This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. (This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. )

信号处理程序包 高阶累积量 matlab 工具箱(Signal processing toolbox matlab package cumulant)

这是一个HDB3编码的matlab程序，可进行信源编码，可以做为一个子程序(This is a HDB3 encoding matlab program source coding can be used as a subroutine)