代码搜索：convolutional
找到约 698 项符合「convolutional」的源代码
代码结果 698
www.eeworm.com/read/389823/8496952
m cnv_encd.m
% cov_encd(input)
% determines hte output sequence of a binary convolutional encoder
function output = cnv_encd(input)
% generate trellis graphic r=1/3 k0=1 g=[557,663,711];
trel = poly2trellis(9,
www.eeworm.com/read/388154/8632026
m start.m
function [N, K,tail ] = start(nCode, ch_mode,I_label,S_label,cols)
%
%
% nCode = spreading factor
% ch_mode = mode indicating the channel coding scheme
% 1 = Convolutional coding with ratio 1/3 a
www.eeworm.com/read/184529/9096271
m start.m
function [N, K,tail ] = start(nCode, ch_mode,I_label,S_label,cols)
%
%
% nCode = spreading factor
% ch_mode = mode indicating the channel coding scheme
% 1 = Convolutional coding with ratio 1/3 a
www.eeworm.com/read/377595/9270088
m start.m
function [N, K,tail ] = start(nCode, ch_mode,I_label,S_label,cols)
%
%
% nCode = spreading factor
% ch_mode = mode indicating the channel coding scheme
% 1 = Convolutional coding with ratio 1/3 a
www.eeworm.com/read/358502/10186242
m start.m
function [N, K,tail ] = start(nCode, ch_mode,I_label,S_label,cols)
%
%
% nCode = spreading factor
% ch_mode = mode indicating the channel coding scheme
% 1 = Convolutional coding with ratio 1/3 a
www.eeworm.com/read/351061/10684421
m start.m
function [N, K,tail ] = start(nCode, ch_mode,I_label,S_label,cols)
%
%
% nCode = spreading factor
% ch_mode = mode indicating the channel coding scheme
% 1 = Convolutional coding with ratio 1/3 a
www.eeworm.com/read/417058/11005203
m start.m
function [N, K,tail ] = start(nCode, ch_mode,I_label,S_label,cols)
%
%
% nCode = spreading factor
% ch_mode = mode indicating the channel coding scheme
% 1 = Convolutional coding with ratio 1/3 a
www.eeworm.com/read/310310/13653699
m start.m
function [N, K,tail ] = start(nCode, ch_mode,I_label,S_label,cols)
%
%
% nCode = spreading factor
% ch_mode = mode indicating the channel coding scheme
% 1 = Convolutional coding with ratio 1/3 a
www.eeworm.com/read/309005/13684243
m start.m
function [N, K,tail ] = start(nCode, ch_mode,I_label,S_label,cols)
%
%
% nCode = spreading factor
% ch_mode = mode indicating the channel coding scheme
% 1 = Convolutional coding with ratio 1/3 a
www.eeworm.com/read/481892/6632120
m demo.m
% repetition code and convolutional code using Belief Propagation Inference
% decoding on AWGN channel using matlab or octave if sparse matrix support
% is added.
% V 1.1 04/15/05
% Mail comments to J