mirror of https://github.com/saitohirga/WSJT-X.git
309 lines
7.4 KiB
Fortran
309 lines
7.4 KiB
Fortran
subroutine encode300(message,codeword)
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! Encode an 60-bit message and return a 300-bit codeword.
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! The generator matrix has dimensions (240,60).
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! The code is a (300,60) irregular ldpc code with column weights:
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! 52% column weight 2
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! 27% column weight 3
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! 21% column weight 7
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! The code was generated using the PEG algorithm.
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! After creating the codeword, the columns are re-ordered according to
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! "colorder" to make the codeword compatible with the parity-check matrix
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!
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character*15 g(240)
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integer*1 codeword(300)
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integer colorder(300)
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integer*1 gen(240,60)
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integer*1 itmp(300)
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integer*1 message(60)
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integer*1 pchecks(240)
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logical first
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data first/.true./
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data g/ &
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"316fd3bb18bcefd", &
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"a9c1c984f91244e", &
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"9e04bd3d5d78d89", &
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"f81617089621bd4", &
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"12997ce2f44dbf4", &
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"3ebddaf9b0fa1fc", &
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"d0c114b0b0ef162", &
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"f8c4f115f98bd92", &
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"d0a79c0c5b8ca19", &
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"477f6712f357b3b", &
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"fa28b2444a7e66b", &
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"bedcd4df8d95c64", &
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"da30de73e57022c", &
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"bc099bbb90fe09e", &
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"cffc1e47e5708e8", &
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"713d808563ca9a3", &
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"70fcf1741d5d5d7", &
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"32e80bc15112008", &
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"804cef4df9b18ec", &
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"3736881819d1033", &
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"f4e37db7f9c5efe", &
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"9e84b93d4d78d09", &
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"2250c3518ec830a", &
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"55a529a92e18021", &
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"1cb80b14c9f6eae", &
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"80c504b031ef926", &
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"ece6636d0ac9c6d", &
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"5d50a1690782cd0", &
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"3d54a1fb30937a2", &
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"ba8fe8006318041", &
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"02917ce2fc45bf4", &
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"abc1d984f95a44e", &
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"fc05b4c4ab2d850", &
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"467f7718f357b3b", &
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"472cc094546c6b2", &
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"fcdd94cf8c9cc64", &
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"4dbc1647e970cc8", &
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"6caa465c442aed1", &
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"aead5af8b0da1be", &
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"d8e1fa45a2e8431", &
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"9d4dc4cc63abb7f", &
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"9b2df6b48264637", &
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"7335808563ca3a3", &
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"36bf8d5cd93e6cc", &
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"004ccf4db9b08ec", &
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"90a71c8c598ca19", &
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"f8c5d115f90bc92", &
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"b95546c4e3f7934", &
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"7d50a1690786cd0", &
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"c90939921a0d7c6", &
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"d0c504b030ef126", &
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"ce3e6f9396fc542", &
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"a0072a59f3707f5", &
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"532d0a8fe3da1ea", &
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"68b9e5cd7d142db", &
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"fedc94df8c9dc64", &
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"6da2465c448aed0", &
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"3574aa19cb273c0", &
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"1e54768c6bc6843", &
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"691f65654498186", &
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"fe2c92444a6ef6b", &
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"9caad933e038cc4", &
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"ad4e6f4defb28ec", &
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"4f3d80947c6d2b2", &
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"1caad933e0b8cc4", &
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"b14fd3bf18bcafd", &
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"ad091bbbb0f809e", &
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"90b71c8c598da19", &
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"f8c4d115f90bd92", &
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"9d4dcccc63afb7f", &
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"fa2c92444a6e76b", &
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"1e14768c6bc6c43", &
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"d1baf5aacb86087", &
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"bdf762b92ee51c7", &
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"caacec06ad8a90c", &
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"804ccf4df9b08ec", &
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"69e969f9da5cbd8", &
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"814ccf4df9b086c", &
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"cebe4f9796f4542", &
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"491f65654499186", &
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"8fbf5b9796f6d2a", &
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"ce3e4f9396f4542", &
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"47558560e7debc3", &
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"94aadd33e038cc4", &
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"a94eef4debb286e", &
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"d8e5d115f91bcd2", &
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"532d488fe3da0ab", &
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"664e7bc4e23a80c", &
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"94a2dd33a038cd4", &
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"d8c5d115f91bc92", &
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"0fef071eee60bd5", &
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"9a89a09163c2b97", &
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"0eaf071e6c60bd5", &
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"bc0d1bbbb0fe0be", &
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"f9babd3d12d0f31", &
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"69a969f9da5c9d8", &
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"6e4e7bc4e23a82c", &
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"b0042659f3227f5", &
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"2d51418f0f28347", &
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"be0d5bbbb0da0be", &
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"225003508ec8302", &
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"8fbf4b9796f4d2a", &
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"bead5af9b0da1be", &
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"6ca2465c440aed1", &
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"4fbc1e47ed708c8", &
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"bd091bbbb0fc09e", &
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"b0062259f3307f5", &
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"a8072a59f3727f5", &
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"a0062259f3707f5", &
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"3c380b14c974eae", &
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"30042659f3226f5", &
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"48b9e4cd7d142db", &
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"728bcd4b38308fb", &
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"c0c504b031ef126", &
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"314fd3bb18bcafd", &
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"1c29148305faec1", &
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"44c92a9c28ada63", &
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"88e99b370aae32b", &
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"695081690386ad8", &
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"572d0a8de3da1ea", &
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"467f6610f357b2b", &
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"733d008563da1a3", &
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"d1baf4aacb84087", &
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"4315551d71c8ff0", &
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"48bde4cd7d140db", &
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"3ebd58f9b0da9fc", &
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"51baf4aacb84083", &
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"814e4f4de9b082c", &
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"814ecf4de9b086c", &
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"be0d1bbbb0fa0be", &
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"4f7580947c792b3", &
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"cdf2dce48c39c3b", &
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"d8c5c115f91bc12", &
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"a94e6f4debb28ee", &
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"be2d5afbb0da1be", &
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"cdd6dce48439c2b", &
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"bebd5af9b0da1fe", &
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"fa2892444a6e66b", &
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"51bbf4aacb8c083", &
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"baa73d81eebcd83", &
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"79a2ce47f138cc9", &
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"cc28cf198e6dbd4", &
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"fcde94dfcc9cc64", &
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"1016fcf59286717", &
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"12917ce2fc4dbf4", &
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"4fbc1647e9708c8", &
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"3e382b1cc974fae", &
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"d5bafdaad386087", &
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"0fef473eee60bd5", &
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"c0e504b031ee126", &
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"8bbf5b9797f6d2a", &
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"0eef071e6e60bd5", &
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"1806fcf59386517", &
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"fcdc94df8c9cc64", &
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"141eca2bfa25656", &
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"5fbc1767e9708e8", &
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"5aa4c7803a6bdf1", &
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"b14bd3b718bcafd", &
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"3ebd5af9b0da1fc", &
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"d0a7148c5b8ca09", &
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"a94ecf4debb086e", &
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"733d808563ca1a3", &
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"fd9abd1d92d0f31", &
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"bc091bbbb0fe09e", &
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"d0c514b0b0ef122", &
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"4f7d80947c7d2b3", &
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"8b3f5b97b7f6d2a", &
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"4fbc1767e9708c8", &
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"cebf4f9796f4502", &
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"9c76c880a864e67", &
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"abc1c984f95244e", &
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"795081690786ad8", &
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"467f6710f357b3b", &
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"1c380b14c9f4eae", &
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"d5baf5aac386087", &
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"bedc94df8c95c64", &
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"553d0a8de2da1fa", &
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"0315551d71d8ff0", &
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"1c1eca2ffa25656", &
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"d4bafdaad3c6087", &
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"be2d5bfbb0da0be", &
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"b0062659f3207f5", &
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"5ffc1765e9708e8", &
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"8d62e8bcd303e33", &
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"cc08cf198e69bd4", &
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"573d0a8de3da1fa", &
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"cd56dce48639c2b", &
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"472dc094546c2b2", &
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"7950a16907868d8", &
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"7283cf4b38308fb", &
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"894ecf4de9b086e", &
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"0f7580b47c792b3", &
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"cfbf4b9796f4d0a", &
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"3e380b14c974fae", &
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"732d0085e3da1a3", &
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"1816fcf59386717", &
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"532d088fe3da1ab", &
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"1c300b94c9fcaae", &
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"d0a71c8c5b8ca19", &
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"9e84bd3d5d78d09", &
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"225083508ec830a", &
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"f99abd1d12d0f31", &
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"35f4aa19cb673c0", &
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"cdd2dce48c39c2b", &
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"0f7780b47c792bf", &
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"0e33a5f114f5730", &
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"bc05b4c4ab0d850", &
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"1c300b14c9f4aae", &
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"cfbc1e47ed708e8", &
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"0f7180b47c392b3", &
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"d8c7c115f91be12", &
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"c09148adfa94e97", &
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"9c66c880a844e67", &
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"2226c13b73519f8", &
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"cebf4b9796f4d02", &
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"c0e706b031ee126", &
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"6a6629715e53ce3", &
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"73f9aa824e7d0b8", &
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"473d80947c6c2b2", &
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"1df140e0ddb5632", &
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"473dc0945c6c2b2", &
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"81b4d95f671971d", &
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"663945ca758e2b6", &
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"02ec3d98a2306fd", &
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"5dadb0fa1275690", &
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"4bb8aaa854948d0", &
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"8359ba40886971c", &
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"49cc3d2a2be2ee0", &
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"bfdf13af137f318", &
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"a1de773a2b1ff04", &
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"8ff3945a2f465c7", &
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"532d0087e3da1a3", &
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"f3eaf7fa454d385", &
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"a606aa5aeba07d9", &
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"67f0627b0af8a53", &
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"56698bed69d1c2c", &
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"d5f420011fbf924", &
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"2a8f86c810e2c62", &
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"43cc1cf1208c206", &
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"ee784c4900258de"/
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data colorder/ &
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0,1,2,3,4,5,6,7,8,9,10,11,123,12,13,14,15,16,17,18, &
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19,20,21,22,23,24,25,138,26,145,27,28,29,30,31,32,33,34,35,36, &
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37,154,38,39,40,41,42,43,44,144,46,47,48,49,50,51,52,53,143,54, &
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125,56,57,58,124,59,120,140,157,160,55,60,61,62,156,162,141,64,65,153, &
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181,183,66,170,67,68,69,130,70,164,71,72,73,74,75,63,76,77,135,78, &
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79,80,176,169,82,83,84,167,180,85,136,158,129,166,175,142,134,146,121,165, &
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88,89,192,90,45,91,92,93,182,189,94,95,96,173,81,97,98,178,122,126, &
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132,99,100,152,186,193,101,102,151,103,104,172,159,168,150,190,147,148,201,107, &
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205,177,108,198,197,174,127,109,185,110,202,87,199,171,179,187,139,137,106,131, &
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206,194,112,149,155,113,128,184,196,86,114,203,212,195,208,105,188,161,163,191, &
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200,209,214,204,115,218,133,111,207,117,213,216,211,217,116,215,219,220,210,221, &
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118,222,223,225,224,228,226,229,231,227,233,119,234,235,232,230,237,239,236,238, &
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240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259, &
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260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279, &
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280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299/
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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=1,240
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do j=1,15
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read(g(i)(j:j),"(Z1)") istr
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do jj=1, 4
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icol=(j-1)*4+jj
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if( btest(istr,4-jj) ) gen(i,icol)=1
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enddo
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enddo
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enddo
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first=.false.
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endif
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do i=1, 240
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nsum=0
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do j=1, 60
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nsum=nsum+message(j)*gen(i,j)
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enddo
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pchecks(i)=mod(nsum,2)
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enddo
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itmp(1:240)=pchecks
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itmp(241:300)=message(1:60)
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codeword(colorder+1)=itmp(1:300)
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return
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end subroutine encode300
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