MM1

已知一串Markov Chain，通过代码得到他的Transition Matrix.(Known bunch of Markov Chain, through the code to get his Transition Matrix.)

Novel fast motion estimation algorithm based on optimizing predictive motion vector

这本书是我国著名的方开泰教授最新出版的一本关于试验设计的书籍，其中总结了其研究的最新成果，也代表了国际相关研究的最新动态，是相关研究人员的重要参考书籍。(This book is a famous Professor Fang recently published a book on experimental design books, which summarizes the latest results of their research, but also represents the latest developments in international studies and is an important reference for researchers related books.)

Digital ImageProcessing Using MATLAB 数字图像处理（MATLAB版） 冈萨雷斯和伍兹所著 这本书的matlab代码编译后的文件 可以在matlab中使用 (Digital ImageProcessing Using MATLAB digital image processing (MATLAB version) written by Gonzales and Woods book compiled matlab code files can be used in matlab)

This is code for OFDM

matlab进阶教程。讲述如何用程序控制matlab绘图、计算、GUI等。(matlab advanced tutorial. About how to use process control matlab graphics, computing, GUI, etc..)

1 瑞利分布实现程序 2 瑞利分布＋杂波 3 相关对数正态分布杂波 4 相关weibull分布杂波 5 相干相关K分布杂波 (1 Rayleigh distribution to achieve program 2 Rayleigh distribution+ Clutter 3 Related lognormal clutter 4 related weibull distribution clutter 5 coherent K distributed clutter)

一个四用户的扩频通信系统，扩频增益为N=16，采用Walsh码进行直接序列扩频，BPSK调制，无线信道为AWGN信道。在接收端进行解扩，解调，判决，通过仿真得到其中一个用户的误比特率与信噪比的仿真结果。(A four-user spread spectrum communication system, spreading gain for N = 16, using Walsh code Direct Sequence Spread Spectrum, BPSK modulation, AWGN channel for the wireless channel. At the receiving end for despreading, demodulation, judgments, through the simulation to be one of a user' s bit error rate and SNR of the simulation results.)

说明：  异步电动机直接转据控制系统中电流信号的AD转换，可直接用于工程项目中(direct asynchronous motor control system according to which the current signal AD conversion, can be used directly in projects)

稳态kalman滤波算法仿真通式 本程序考虑线性离散时不变随机系统。系统模型为x(t+1)=fai*x(t)+gama*w(t) y(t)=H(t)*x(t)+v(t)。有6个参数：状态转移阵fai，输入噪声系数gama，观测阵H，输入 噪声方差Q，观测噪声方差R，观测y( Steady-state kalman filtering algorithm simulation program to consider the general form linear discrete time-invariant stochastic system. System model x (t+1) = fai* x (t)+ gama* w (t) y (t) = H (t)* x (t)+ v (t). There are six parameters: state transition matrix fai, input noise figure gama, observation matrix H, enter noise variance Q, observation noise variance R, observation y)