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https://github.com/saitohirga/WSJT-X.git
synced 2024-11-22 12:23:37 -05:00
Fix some bugs.
git-svn-id: svn+ssh://svn.code.sf.net/p/wsjt/wsjt/branches/wsjtx@7714 ab8295b8-cf94-4d9e-aec4-7959e3be5d79
This commit is contained in:
parent
c8e5d8ecd6
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@ -309,7 +309,6 @@ ncw=3
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toc=0
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tov=0
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tanhtoc=0
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!write(*,*) llr
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! initialize messages to checks
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do j=1,M
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do i=1,nrw(j)
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@ -339,7 +338,7 @@ do iter=0,maxiterations
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if( mod(synd(i),2) .ne. 0 ) ncheck=ncheck+1
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! if( mod(synd(i),2) .ne. 0 ) write(*,*) 'check ',i,' unsatisfied'
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enddo
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!write(*,*) 'number of unsatisfied parity checks ',ncheck
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! write(*,*) 'number of unsatisfied parity checks ',ncheck
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if( ncheck .eq. 0 ) then ! we have a codeword - reorder the columns and return it
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! niterations=iter
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codeword=cw(colorder+1)
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@ -2,94 +2,93 @@ integer, parameter:: N=174, K=87, M=N-K
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character*22 g(87)
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integer colorder(N)
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data g/ & !parity generator matrix for (174,87) code
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"23bba830e23b6b6f509828", &
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"1f8e55da218c5df3309050", &
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"23bba830e23b6b6f50982e", &
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"1f8e55da218c5df3309052", &
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"ca7b3217cd92bd59a5ae20", &
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"56f78313537d0f43829648", &
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"29c29dba9c545e267762f8", &
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"6be396b5e2e819e3733408", &
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"56f78313537d0f4382964e", &
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"29c29dba9c545e267762fe", &
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"6be396b5e2e819e373340c", &
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"293548a138858328af4210", &
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"cb6c6afcdc28bb3f7c6e80", &
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"cb6c6afcdc28bb3f7c6e86", &
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"3f2a86f5c5bd225c961150", &
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"849dd2d63673481860f628", &
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"56cdaec6e7ae14b43feee8", &
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"04ef5cfa3766ba778f45a0", &
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"c525ae4bd4f627320a3970", &
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"fe37802941d66dde02b998", &
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"41fd9520b2e4abeb2f9898", &
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"40907b01280f03c0323940", &
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"7fb36c24085a34d8c1dbc0", &
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"40fc3e44bb7d2bb2756e40", &
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"d38ab0a1d2e52a8ec3bc70", &
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"3d0f929ef3949bd84d4730", &
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"45d3814f504064f80549a8", &
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"f14dbf263825d0bd04b058", &
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"849dd2d63673481860f62c", &
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"56cdaec6e7ae14b43feeee", &
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"04ef5cfa3766ba778f45a4", &
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"c525ae4bd4f627320a3974", &
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"fe37802941d66dde02b99c", &
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"41fd9520b2e4abeb2f989c", &
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"40907b01280f03c0323946", &
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"7fb36c24085a34d8c1dbc4", &
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"40fc3e44bb7d2bb2756e44", &
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"d38ab0a1d2e52a8ec3bc76", &
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"3d0f929ef3949bd84d4734", &
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"45d3814f504064f80549ae", &
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"f14dbf263825d0bd04b05e", &
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"f08a91fb2e1f78290619a8", &
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"7a8dec79a51e8ac5388020", &
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"ca4186dd44c3121565cf58", &
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"db714f8f64e8ac7af1a768", &
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"7a8dec79a51e8ac5388022", &
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"ca4186dd44c3121565cf5c", &
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"db714f8f64e8ac7af1a76e", &
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"8d0274de71e7c1a8055eb0", &
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"51f81573dd4049b082de10", &
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"51f81573dd4049b082de14", &
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"d037db825175d851f3af00", &
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"d8f937f31822e57c562370", &
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"1bf1490607c54032660ed8", &
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"1616d78018d0b4745ca0f0", &
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"a9fa8e50bcb032c85e3300", &
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"83f640f1a48a8ebc0443e8", &
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"eca9afa0f6b01d92305ed8", &
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"3776af54ccfbae916afde0", &
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"6abb212d9739dfc02580f0", &
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"1bf1490607c54032660ede", &
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"1616d78018d0b4745ca0f2", &
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"a9fa8e50bcb032c85e3304", &
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"83f640f1a48a8ebc0443ea", &
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"eca9afa0f6b01d92305edc", &
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"3776af54ccfbae916afde6", &
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"6abb212d9739dfc02580f2", &
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"05209a0abb530b9e7e34b0", &
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"612f63acc025b6ab476f78", &
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"0af7723161ec223080be80", &
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"612f63acc025b6ab476f7c", &
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"0af7723161ec223080be86", &
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"a8fc906976c35669e79ce0", &
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"45b7ab6242b77474d9f118", &
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"b274db8abd3c6f396ea350", &
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"9059dfa2bb20ef7ef73ad0", &
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"3d188ea477f6fa41317a48", &
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"8d9071b7e7a6a2eed69658", &
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"a377253773ea678367c3f0", &
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"ecbd7c73b9cd34c3720c88", &
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"b6537f417e61d1a7085330", &
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"6c280d2a0523d9c4bc5940", &
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"45b7ab6242b77474d9f11a", &
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"b274db8abd3c6f396ea356", &
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"9059dfa2bb20ef7ef73ad4", &
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"3d188ea477f6fa41317a4e", &
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"8d9071b7e7a6a2eed6965e", &
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"a377253773ea678367c3f6", &
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"ecbd7c73b9cd34c3720c8a", &
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"b6537f417e61d1a7085336", &
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"6c280d2a0523d9c4bc5946", &
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"d36d662a69ae24b74dcbd8", &
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"d747bfc5fd65ef70fbd9b8", &
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"a9fa2eefa6f8796a355770", &
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"cc9da55fe046d0cb3a7708", &
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"f6ad4824b87c80ebfce460", &
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"cc6de59755420925f90ed0", &
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"164cc861bdd803c547f2a8", &
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"c0fc3ec4fb7d2bb2756640", &
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"0dbd816fba1543f721dc70", &
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"a0c0033a52ab6299802fd0", &
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"d747bfc5fd65ef70fbd9bc", &
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"a9fa2eefa6f8796a355772", &
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"cc9da55fe046d0cb3a770c", &
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"f6ad4824b87c80ebfce466", &
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"cc6de59755420925f90ed2", &
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"164cc861bdd803c547f2ac", &
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"c0fc3ec4fb7d2bb2756644", &
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"0dbd816fba1543f721dc72", &
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"a0c0033a52ab6299802fd2", &
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"bf4f56e073271f6ab4bf80", &
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"57da6d13cb96a7689b2790", &
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"81cfc6f18c35b1e1f17110", &
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"481a2a0df8a23583f82d68", &
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"1ac4672b549cd6dba79bc8", &
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"81cfc6f18c35b1e1f17114", &
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"481a2a0df8a23583f82d6c", &
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"1ac4672b549cd6dba79bcc", &
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"c87af9a5d5206abca532a8", &
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"97d4169cb33e7435718d90", &
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"a6573f3dc8b16c9d19f740", &
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"2c4142bf42b01e71076ac8", &
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"081c29a10d468ccdbcecb0", &
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"5b0f7742bca86b80126098", &
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"012dee2198eba82b19a1d8", &
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"f1627701a2d692fd9449e0", &
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"35ad3fb0faeb5f1b0c30d8", &
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"b1ca4ea2e3d173bad43798", &
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"37d8e0af9258b9e8c5f9b0", &
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"cd921fdf59e882683763f0", &
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"6114e08483043fd3f38a88", &
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"2e547dd7a05f6597aac510", &
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"95e45ecd0135aca9d6e6a8", &
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"a6573f3dc8b16c9d19f746", &
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"2c4142bf42b01e71076acc", &
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"081c29a10d468ccdbcecb6", &
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"5b0f7742bca86b8012609a", &
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"012dee2198eba82b19a1da", &
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"f1627701a2d692fd9449e6", &
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"35ad3fb0faeb5f1b0c30dc", &
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"b1ca4ea2e3d173bad4379c", &
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"37d8e0af9258b9e8c5f9b2", &
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"cd921fdf59e882683763f6", &
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"6114e08483043fd3f38a8a", &
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"2e547dd7a05f6597aac516", &
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"95e45ecd0135aca9d6e6ae", &
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"b33ec97be83ce413f9acc8", &
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"c8b5dffc335095dcdcaf28", &
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"3dd01a59d86310743ec750", &
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"14cd0f642fc0c5fe3a65c8", &
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"c8b5dffc335095dcdcaf2a", &
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"3dd01a59d86310743ec752", &
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"14cd0f642fc0c5fe3a65ca", &
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"3a0a1dfd7eee29c2e827e0", &
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"8abdb889efbe39a510a118", &
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"3f231f212055371cf3e2a0"/
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"3f231f212055371cf3e2a2"/
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data colorder/ &
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0, 1, 2, 3, 30, 4, 5, 6, 7, 8, 9, 10, 11, 32, 12, 40, 13, 14, 15, 16,&
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17, 18, 37, 45, 29, 19, 20, 21, 41, 22, 42, 31, 33, 34, 44, 35, 47, 51, 50, 43,&
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@ -69,8 +69,8 @@ write(*,*) "niter= ",max_iterations," s= ",s
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allocate ( codeword(N), decoded(K), message(K) )
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allocate ( rxdata(N), llr(N) )
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! msg="K1JT K9AN EN50"
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msg="G4WJS K9AN EN50"
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msg="K1JT K9AN EN50"
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! msg="G4WJS K9AN EN50"
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call packmsg(msg,i4Msg6BitWords,itype) !Pack into 12 6-bit bytes
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call unpackmsg(i4Msg6BitWords,msgsent) !Unpack to get msgsent
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write(*,*) "message sent ",msgsent
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@ -182,10 +182,10 @@ do idb = 14,-6,-1
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endif
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llr=2.0*rxdata/(ss*ss)
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nap=0 ! number of AP bits
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llr(colorder(174-87+1:174-87+nap)+1)=5*(2.0*msgbits(1:nap)-1.0)
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! nap=0 ! number of AP bits
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! llr(colorder(174-87+1:174-87+nap)+1)=5*(2.0*msgbits(1:nap)-1.0)
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apmask=0
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apmask(colorder(174-87+1:174-87+nap)+1)=1
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! apmask(colorder(174-87+1:174-87+nap)+1)=1
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! max_iterations is max number of belief propagation iterations
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call bpdecode174(llr, apmask, max_iterations, decoded, niterations)
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@ -236,6 +236,4 @@ do i=1,87
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enddo
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close(25)
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end program ldpcsim174
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@ -24,7 +24,7 @@ save first,gen
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if( first ) then ! fill the generator matrix
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gen=0
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do i=1,M
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do j=1,21
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do j=1,22
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read(g(i)(j:j),"(Z1)") istr
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do jj=1, 4
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irow=(j-1)*4+jj
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@ -139,7 +139,7 @@ nt=nt+1
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i2min=i2
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i3min=i3
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i4min=i4
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if( nhardmin .le. 5 ) goto 200 ! early exit - tune for each code
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if( nhardmin .le. 15 ) goto 200 ! early exit - tune for each code
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endif
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enddo
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enddo
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