rs_encode: parity = [255; 79; 159; 161; 207; 203; 99; 104; 185; 210; 44; 255; 190; 127; 50; 161];
rs_encode: parity = [120; 36; 43; 35; 195; 151; 145; 50; 164; 236; 159; 171; 57; 179; 12; 121];
rs_encode: parity = [19; 131; 113; 92; 146; 3; 200; 57; 122; 68; 134; 144; 33; 59; 63; 38];
rs_encode: parity = [87; 81; 93; 21; 183; 249; 99; 164; 89; 251; 183; 177; 53; 2; 166; 183];
rs_encode: parity = [38; 124; 72; 186; 172; 214; 131; 159; 52; 84; 113; 106; 150; 110; 10; 173];
rs_encode: parity = [140; 38; 169; 120; 135; 141; 162; 195; 47; 187; 227; 174; 129; 216; 103; 243];
rs_encode: parity = [19; 6; 246; 135; 215; 34; 120; 45; 79; 200; 81; 108; 222; 112; 23; 206];
rs_encode: parity = [97; 239; 187; 180; 17; 175; 181; 68; 140; 175; 108; 174; 113; 208; 184; 165];
rs_encode: parity = [78; 198; 215; 42; 171; 144; 73; 111; 17; 237; 221; 25; 10; 8; 68; 187];
rs_encode: parity = [46; 215; 80; 47; 16; 140; 67; 87; 122; 68; 49; 34; 81; 32; 52; 122];
rs_encode: parity = [72; 172; 173; 39; 35; 162; 18; 12; 222; 41; 163; 24; 30; 188; 93; 186];
rs_encode: parity = [230; 166; 9; 145; 253; 78; 64; 244; 243; 44; 19; 21; 193; 36; 137; 69];
rs_encode: parity = [219; 238; 0; 22; 40; 169; 20; 15; 20; 215; 71; 39; 118; 252; 215; 197];
rs_encode: parity = [20; 26; 27; 213; 191; 57; 86; 95; 165; 176; 96; 51; 148; 245; 102; 84];
rs_encode: parity = [191; 6; 194; 44; 128; 215; 66; 69; 97; 95; 32; 82; 209; 14; 21; 28];
rs_encode: parity = [56; 159; 104; 15; 231; 210; 34; 231; 36; 15; 203; 96; 28; 70; 74; 230];
rs_encode: parity = [171; 102; 173; 233; 89; 110; 152; 89; 151; 13; 232; 44; 13; 2; 94; 162];
rs_encode: parity = [201; 97; 205; 6; 52; 160; 194; 27; 245; 93; 52; 112; 157; 39; 185; 152];
rs_encode: parity = [202; 188; 162; 130; 25; 112; 45; 212; 173; 182; 212; 246; 30; 25; 105; 104];
rs_encode: parity = [46; 219; 135; 164; 151; 130; 29; 107; 49; 238; 15; 9; 243; 40; 241; 55];
rs_encode: parity = [7; 170; 245; 158; 221; 24; 112; 231; 7; 211; 201; 53; 114; 150; 102; 154];
rs_encode: parity = [252; 204; 118; 60; 185; 232; 93; 244; 25; 81; 240; 246; 182; 10; 97; 35];
rs_encode: parity = [252; 118; 156; 33; 30; 4; 22; 67; 161; 112; 28; 6; 37; 73; 210; 32];
rs_encode: parity = [32; 33; 14; 71; 62; 38; 109; 249; 174; 70; 23; 238; 103; 28; 246; 142];
rs_encode: parity = [108; 25; 92; 74; 111; 220; 211; 226; 131; 190; 229; 163; 81; 12; 239; 52];
rs_encode: parity = [194; 42; 90; 59; 92; 247; 215; 193; 62; 110; 186; 79; 143; 210; 70; 200];
rs_encode: parity = [56; 30; 162; 30; 88; 45; 12; 247; 66; 131; 9; 54; 217; 31; 5; 19];
rs_encode: parity = [212; 232; 214; 29; 47; 40; 249; 77; 173; 50; 205; 250; 59; 81; 223; 60];
rs_encode: parity = [213; 133; 86; 77; 190; 175; 50; 212; 145; 60; 58; 58; 46; 144; 131; 5];
rs_encode: parity = [253; 106; 163; 64; 106; 28; 22; 191; 161; 218; 209; 23; 138; 76; 175; 123];
rs_encode: parity = [0; 152; 212; 62; 76; 114; 31; 197; 232; 107; 90; 121; 202; 32; 156; 191];
rs_encode: parity = [69; 37; 102; 159; 122; 198; 7; 245; 199; 205; 68; 213; 195; 228; 50; 32];
rs_encode: parity = [75; 118; 66; 58; 48; 175; 221; 141; 153; 128; 164; 97; 89; 52; 36; 94];
rs_encode: parity = [216; 68; 164; 6; 151; 32; 114; 22; 59; 215; 207; 194; 198; 200; 191; 119];
rs_encode: parity = [10; 27; 93; 176; 213; 196; 77; 155; 26; 95; 203; 228; 27; 68; 240; 87];
rs_encode: parity = [227; 1; 225; 45; 8; 6; 247; 253; 175; 63; 113; 26; 153; 134; 128; 184];
rs_encode: parity = [63; 172; 124; 135; 166; 148; 254; 99; 70; 245; 237; 154; 1; 54; 49; 108];
rs_encode: parity = [43; 180; 9; 4; 84; 130; 195; 166; 184; 187; 57; 27; 25; 72; 234; 32];
rs_encode: parity = [239; 52; 43; 10; 37; 152; 187; 36; 251; 224; 34; 191; 168; 227; 80; 167];
rs_encode: parity = [135; 169; 230; 72; 189; 59; 32; 72; 13; 180; 232; 7; 110; 237; 78; 216];
rs_encode: parity = [227; 36; 233; 63; 100; 58; 146; 172; 150; 14; 92; 108; 48; 239; 181; 22];
rs_encode: parity = [96; 170; 236; 171; 212; 23; 140; 130; 83; 53; 1; 88; 199; 187; 169; 231];
rs_encode: parity = [77; 232; 50; 18; 112; 156; 133; 37; 143; 161; 9; 7; 44; 83; 209; 36];
rs_encode: parity = [103; 156; 184; 147; 141; 97; 210; 159; 2; 105; 163; 52; 202; 81; 3; 210];
rs_encode: parity = [71; 210; 142; 22; 32; 114; 244; 20; 110; 155; 252; 89; 39; 62; 13; 36];
rs_encode: parity = [136; 141; 7; 185; 219; 107; 69; 48; 104; 195; 140; 84; 7; 232; 40; 131];
rs_encode: parity = [220; 55; 199; 21; 120; 74; 8; 31; 212; 85; 87; 26; 204; 188; 244; 219];
rs_encode: parity = [69; 41; 122; 8; 64; 34; 100; 180; 247; 214; 49; 134; 217; 11; 48; 240];
rs_encode: parity = [114; 50; 255; 196; 141; 184; 123; 174; 92; 118; 84; 186; 121; 87; 104; 87];
rs_encode: parity = [69; 211; 222; 92; 89; 73; 97; 158; 221; 199; 13; 237; 45; 229; 114; 52];
rs_encode: parity = [186; 155; 3; 146; 151; 100; 78; 8; 101; 99; 207; 225; 216; 190; 238; 247];
rs_encode: parity = [171; 93; 26; 49; 17; 83; 166; 213; 203; 210; 64; 229; 164; 44; 166; 219];
rs_encode: parity = [13; 221; 207; 45; 187; 202; 158; 231; 169; 99; 239; 155; 209; 97; 231; 17];
rs_encode: parity = [61; 231; 212; 129; 24; 40; 240; 112; 80; 27; 24; 251; 47; 100; 191; 111];
rs_encode: parity = [157; 200; 253; 213; 216; 135; 93; 40; 9; 241; 208; 207; 251; 211; 176; 9];
rs_encode: parity = [138; 120; 106; 132; 55; 35; 243; 50; 250; 195; 94; 156; 96; 187; 220; 58];
rs_encode: parity = [228; 40; 110; 230; 66; 155; 241; 105; 43; 87; 27; 80; 64; 187; 200; 195];
rs_encode: parity = [172; 185; 251; 230; 43; 170; 87; 102; 100; 221; 96; 60; 175; 250; 255; 87];
rs_encode: parity = [65; 55; 255; 247; 121; 37; 107; 6; 106; 95; 210; 44; 21; 65; 67; 6];
rs_encode: parity = [6; 181; 182; 236; 22; 70; 194; 164; 159; 212; 210; 245; 156; 12; 233; 41];
rs_encode: parity = [95; 218; 109; 163; 99; 103; 37; 31; 235; 55; 89; 136; 173; 221; 225; 173];
rs_encode: parity = [79; 77; 52; 215; 255; 145; 149; 22; 221; 60; 53; 35; 241; 206; 9; 212];
rs_encode: parity = [77; 94; 20; 37; 45; 183; 190; 144; 239; 180; 111; 219; 121; 17; 245; 59];
rs_encode: parity = [29; 122; 165; 100; 82; 223; 215; 120; 78; 103; 4; 101; 36; 3; 250; 21];
rs_encode: parity = [79; 37; 91; 52; 233; 36; 245; 118; 201; 254; 233; 104; 63; 178; 131; 247];
rs_encode: parity = [255; 105; 81; 56; 55; 157; 54; 238; 233; 31; 11; 18; 86; 63; 175; 176];
rs_encode: parity = [21; 151; 164; 218; 164; 9; 85; 236; 202; 210; 17; 122; 206; 102; 239; 211];
rs_encode: parity = [137; 104; 247; 215; 4; 254; 19; 21; 101; 62; 196; 128; 228; 229; 105; 118];
rs_encode: parity = [221; 254; 110; 54; 206; 36; 76; 225; 160; 233; 2; 183; 96; 126; 121; 207];
rs_encode: parity = [176; 248; 197; 41; 0; 236; 240; 151; 162; 133; 113; 106; 144; 180; 118; 136];
rs_encode: parity = [158; 209; 244; 25; 178; 37; 79; 141; 245; 21; 145; 180; 204; 190; 82; 104];
rs_encode: parity = [191; 77; 11; 73; 233; 187; 14; 247; 139; 244; 118; 44; 250; 80; 212; 216];
rs_encode: parity = [82; 155; 117; 48; 151; 171; 252; 239; 66; 225; 105; 196; 43; 212; 156; 161];
rs_encode: parity = [251; 180; 187; 24; 30; 32; 233; 113; 142; 89; 35; 206; 56; 133; 61; 115];
rs_encode: parity = [39; 218; 4; 174; 190; 38; 251; 197; 23; 71; 42; 75; 50; 201; 164; 92];
rs_encode: parity = [50; 218; 254; 146; 232; 43; 168; 138; 18; 149; 22; 193; 47; 162; 46; 189];
rs_encode: parity = [174; 227; 135; 175; 208; 145; 149; 253; 194; 97; 160; 1; 251; 210; 167; 120];
rs_encode: parity = [83; 166; 28; 64; 142; 227; 233; 2; 101; 232; 6; 37; 152; 213; 254; 31];
rs_encode: parity = [62; 88; 250; 58; 33; 49; 49; 190; 44; 190; 29; 143; 180; 205; 125; 193];
rs_encode: parity = [228; 171; 135; 100; 136; 223; 116; 253; 148; 115; 52; 176; 20; 11; 54; 151];
rs_encode: parity = [205; 219; 159; 128; 233; 65; 29; 179; 192; 227; 217; 159; 175; 23; 224; 116];
rs_e
没有合适的资源?快使用搜索试试~ 我知道了~
基于MATLAB的DVB系统仿真程序
共135个文件
m:74个
dump:34个
ref:5个
5星 · 超过95%的资源 需积分: 50 159 下载量 65 浏览量
2009-05-31
13:56:02
上传
评论 9
收藏 2.27MB RAR 举报
温馨提示
此程序对DVB_T系统进行了较完整的仿真,相信能够很好地帮助初学者,为大家做个向导
资源推荐
资源详情
资源评论
收起资源包目录
基于MATLAB的DVB系统仿真程序 (135个子文件)
ofdm_encode.bin 880KB
map.bin 520KB
ofdm_encode.bin 0B
map.bin 0B
ofdm_decode.dump 440KB
channel.dump 440KB
insert_reference_signals.dump 293KB
remove_reference_signals.dump 293KB
demap.dump 260KB
rs_encode.dump 257KB
convolutional_encode.dump 173KB
convolutional_decode.dump 173KB
depuncturing.dump 130KB
inner_deinterleave.dump 130KB
inner_interleave.dump 130KB
puncturing.dump 130KB
outer_interleave.dump 11KB
rs_encode.dump 11KB
outer_deinterleave.dump 11KB
rs_decode.dump 11KB
scramble.dump 10KB
descramble.dump 10KB
descramble.dump 0B
scramble.dump 0B
convolutional_encode.dump 0B
inner_deinterleave.dump 0B
insert_reference_signals.dump 0B
channel.dump 0B
rs_decode.dump 0B
inner_interleave.dump 0B
ofdm_decode.dump 0B
puncturing.dump 0B
remove_reference_signals.dump 0B
outer_interleave.dump 0B
depuncturing.dump 0B
outer_deinterleave.dump 0B
demap.dump 0B
convolutional_decode.dump 0B
spectrum.err 17KB
INSTALL 1KB
LICENSE 2KB
hs_err_pid2180.log 9KB
global_settings.m 7KB
show_trellis.m 7KB
gf_tb.m 6KB
viterbi.m 5KB
de2bi.m 5KB
dvbt_send_init.m 4KB
tkatastroph.m 4KB
bi2de.m 4KB
scrambler_tb.m 4KB
rs_berlekamp_massey.m 3KB
make_trellis.m 3KB
rs_forney.m 3KB
rs_decode.m 3KB
convolutional_tb.m 3KB
dvbt_tb.m 3KB
dvbt_send.m 2KB
rs_chien.m 2KB
dvbt_receive.m 2KB
rs_tb.m 2KB
rs_init.m 2KB
dump_open.m 2KB
ofdm_tb.m 2KB
dvbt_receive_init.m 2KB
dump_close.m 2KB
outer_interleaver_tb.m 2KB
reference_signals_tb.m 2KB
insert_reference_signals.m 2KB
inner_interleaver_tb.m 1KB
inner_interleave.m 1KB
remove_reference_signals.m 1KB
conv_tbyy.m 1KB
conv_encoder.m 1KB
inner_deinterleave.m 1KB
descramble.m 1KB
gf_init.m 1KB
map_tb.m 1KB
viterbi_init.m 1KB
scramble.m 1KB
rs_encode.m 1KB
gf_log.m 1KB
sp_rd.m 1001B
demap.m 962B
rs_syndrome.m 836B
map.m 810B
channel_model.m 731B
ofdm_decode.m 705B
bitxor.m 674B
digital_frontend.m 659B
contents.m 625B
ofdm_encode.m 591B
visualization_settings.m 554B
scrambler_prbs.m 548B
outer_deinterleave.m 533B
soft_xor.m 509B
outer_interleave.m 508B
gf_exp.m 404B
gf_eval.m 366B
depuncturing.m 326B
共 135 条
- 1
- 2
lrh_hh
- 粉丝: 3
- 资源: 2
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功
- 1
- 2
- 3
前往页