CamputeNeffLP01_test

本代码对深沟球滚动轴承的滚动体做了深刻的研究，并进行了仿真分析，里面的数据来自于美国西储大学。(The rolling bearings of deep groove ball rolling, the code has made a profound study, and simulation analysis, which the data from the Case Western Reserve University in the United States.)

中国剩余定理仿真代码（matlab），可以用在图像以及信道编码(Chinese remainder theorem simulation code (matlab))

dynamic voltage restorer with 11 level diode clamp inverter

[WuYuFei]中是WuYuFei的论文 [WuYufei_matlab]是WuYufei的Matlab程序 做Turbo码，恐怕很难绕过WuYufei的程序，呵呵 [cap_turbo]和[mother]是我在研究阶段的工作 走了很多弯路，所以这两个目录必然有很多错误而且很混乱 如果想了解一下我的研究历程可以看看，切不可拿来修炼，否则走火入魔俺不管。平，mdsvl,sdlxcl([WuYuFei] is WuYuFei papers [WuYufei_matlab] is a Matlab program to do WuYufei Turbo codes, it would be difficult to bypass WuYufei procedures, Oh [cap_turbo] and [mother] at the research stage of my work take a lot of detours, so These two directories must have a lot of mistakes and a lot of confusion if you want to know can see my research process, must not be used practice, or whether I possessed by the Devil.)

matlab 指令介绍 指令介绍 matlab 指令介绍 指令介绍(introduction matlab matlab Directive introduces instruction instruction instruction introduction introduction)

潮流程序。。好好利用，可以更改，可以通用(power flow )

Rebel工具包matlab工具箱,对学习matlab很有帮助(Rebel kit matlab toolbox matlab helpful for learning)

可以动态调节运行环境的参数，一个计算声子晶体结构的一维传递矩阵法,有信道编码，调制，信道估计等。( Can dynamically adjust the parameters of the operating environment, A one-dimensional transfer matrix method to calculate the phonon crystal structure, Channel coding, modulation, channel estimation.)

说明：  隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

说明：  Learning about power amplifiers