MATLAB入门2课件.pptVIP

第四章 差错控制编/译码;第四章 差错控制编/译码 ;4.1.1 差错控制编码过程;4.1.1 差错控制编码过程;线性编码;线性分组码;4.2 差错控制编/译码函数 ;4.2.1 函数介绍;举例;4.2.2 通信工具箱差错控制函数举例 ;randerr;out = randerr(m) generates an m-by-m binary matrix, each row of which has exactly one nonzero entry in a random position. Each allowable configuration has an equal probability. out = randerr(m,n) generates an m-by-n binary matrix, each row of which has exactly one nonzero entry in a random position. Each allowable configuration has an equal probability. out = randerr(m,n,errors) generates an m-by-n binary matrix, where errors determines how many nonzero entries are in each row: If errors is a scalar, it is the number of nonzero entries in each row. If errors is a row vector, it lists the possible number of nonzero entries in each row. If errors is a matrix having two rows, the first row lists the possible number of nonzero entries in each row and the second row lists the probabilities that correspond to the possible error counts. ;out = randerr(8,7,[0 2]) out = 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 1 0 1 0 1 0 0 0 0;out2 = randerr(8,7,[0 2; .25 .75]) out2 = 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 0 0 0;rem函数;rem与mod函数比较;4.2.2 通信工具箱差错控制函数举例 ;4.4 线性分组码 ;4.4 线性分组码;4.4.2 线性分组码解码原理;4.4.2 线性分组码解码原理;4.4.2 线性分组码解码原理;E=[0 0 0 0 0 0 0;0 0 0 0 0 0 1;0 0 0 0 0 1 0;0 0 0 0 1 0 0;0 0 0 1 0 0 0;0 0 1 0 0 0 0;0 1 0 0 0 0 0;1 0 0 0 0 0 0] S=E*h’ ;4.4.2 线性分组码解码原理;4.4.2 线性分组