Optimum symbol-by-symbol mean-square error channel coding

An (n,k) linear block code is used to convey k information digits, each having a numerical value attached, in such a way as to minimize the mean-square error of the individual information digits regardless of the other (k-1) positions. This criterion is used because it provides a graceful degradatio...

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Vydané v:IEEE transactions on information theory Ročník 25; číslo 4; s. 387 - 405
Hlavný autor: Redinbo, G.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 01.07.1979
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ISSN:0018-9448, 1557-9654
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Abstract An (n,k) linear block code is used to convey k information digits, each having a numerical value attached, in such a way as to minimize the mean-square error of the individual information digits regardless of the other (k-1) positions. This criterion is used because it provides a graceful degradation in the coding performance when the channel temporarily becomes less reliable. Unambiguous encoding is employed, and the channel is assumed to obey a realistic additive property. An optimum pair of symbol encoding and decoding functions are derived, and it is shown that the optimum symbol encoding can be performed in a linear fashion. The related decoding role is the conditional mean estimator. Fourier transforms are central to the optimal design of both rules. The optimum symbol rules tire identical with the properly isolated parts of the optimum mean-square error rules when the code is used to carry the k Information digits considered as a single complete numerical entity, The same channel coding design is therefore optimum for a wide variety of Information configurations. Techniques for implementing the optimum symbol decoders are examined with special emphasis on memoryless channels where the storage requirements for the necessary weighting coefficients are drastically reduced.
AbstractList An(n,k)linear block code is used to conveykinformation digits, each having a numerical value attached, in such a way as to minimize the mean-square error of the individual information digits regardless of the other(k-1)positions. This criterion is used because it provides a graceful degradation in the coding performance when the channel temporarily becomes less reliable. Unambiguous encoding is employed, and the channel is assumed to obey a realistic additive property. An optimum pair of symbol encoding and decoding functions are derived, and it is shown that the optimum symbol encoding can be performed in a linear fashion. The related decoding role is the conditional mean estimator. Fourier transforms are central to the optimal design of both rules. The optimum symbol rules tire identical with the properly isolated parts of the optimum mean-square error rules when the code is used to carry the k Information digits considered as a single complete numerical entity, The same channel coding design is therefore optimum for a wide variety of Information configurations. Techniques for implementing the optimum symbol decoders are examined with special emphasis on memoryless channels where the storage requirements for the necessary weighting coefficients are drastically reduced.
An (n,k) linear block code is used to convey k information digits, each having a numerical value attached, in such a way as to minimize the mean-square error of the individual information digits regardless of the other (k-1) positions. This criterion is used because it provides a graceful degradation in the coding performance when the channel temporarily becomes less reliable. Unambiguous encoding is employed, and the channel is assumed to obey a realistic additive property. An optimum pair of symbol encoding and decoding functions are derived, and it is shown that the optimum symbol encoding can be performed in a linear fashion. The related decoding role is the conditional mean estimator. Fourier transforms are central to the optimal design of both rules. The optimum symbol rules tire identical with the properly isolated parts of the optimum mean-square error rules when the code is used to carry the k Information digits considered as a single complete numerical entity, The same channel coding design is therefore optimum for a wide variety of Information configurations. Techniques for implementing the optimum symbol decoders are examined with special emphasis on memoryless channels where the storage requirements for the necessary weighting coefficients are drastically reduced.
Author Redinbo, G.
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crossref_primary_10_1109_TIT_1987_1057275
crossref_primary_10_1109_26_380113
crossref_primary_10_1109_TIT_1986_1057189
crossref_primary_10_1109_TIT_1982_1056511
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10.1109/TIT.1969.1054275
10.1007/978-3-642-66286-7
10.1016/S0019-9958(74)90451-3
10.1109/TIT.1972.1054869
10.1109/TIT.1967.1054054
10.1109/TIT.1974.1055221
10.1109/ICASSP.1978.1170448
10.1109/TIT.1976.1055617
10.1109/TIT.1973.1055035
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An(n,k)linear block code is used to conveykinformation digits, each having a numerical value attached, in such a way as to minimize the mean-square error of...
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StartPage 387
SubjectTerms Additives
Aggregates
Block codes
Decoding
Fourier transforms
Ions
Mean square error methods
Multiplexing
Protection
Symbols
Title Optimum symbol-by-symbol mean-square error channel coding
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