Meager
发表于 2025-3-23 10:01:29
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conflate
发表于 2025-3-23 15:57:47
The Reliability Function of a Communication Channel,In Section 3 we have considered the problem (i) of channel coding, posed in Section 1; now we turn to problem (ii).
圆木可阻碍
发表于 2025-3-23 20:12:52
. chosen from a finite or countably infinite set Y at consecutive time points. As a rule, the message symbols are subject to random distortions — generally referred to as noise — thus the set Ỹ of possible received symbols may be different from Y. The sets Y and Ỹ are referred to as input and output
Initial
发表于 2025-3-24 02:04:38
Carcinogenic and Mutagenic Effects of PCBs,ated in terms of the measure of mutual information, are due to C. Shannon (1948). The first rigorous proof of the coding theorem for memoryless (simple) channels was given by A. Feinstein (1954); the strong converse is due to J. Wolfowitz (1957). The coding theorem for finite state channels is due t
Pelago
发表于 2025-3-24 02:58:14
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挡泥板
发表于 2025-3-24 07:01:18
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哀求
发表于 2025-3-24 12:02:35
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深陷
发表于 2025-3-24 18:50:53
Carcinogenic and Mutagenic Effects of PCBs, (1960). The reliability function for memoryless channels for R ≧ R. has first been determined essentially by R. Fano (1961). The simple derivation of the bound E.(R) given in the text is due to R. Gallager (1965) while the sphere-packing bound E.(R) was derived by C. Shannon, R. Gallager, E. Berlekamp (1967).
灰姑娘
发表于 2025-3-24 22:23:14
Historical Notes and References, (1960). The reliability function for memoryless channels for R ≧ R. has first been determined essentially by R. Fano (1961). The simple derivation of the bound E.(R) given in the text is due to R. Gallager (1965) while the sphere-packing bound E.(R) was derived by C. Shannon, R. Gallager, E. Berlekamp (1967).
厌食症
发表于 2025-3-24 23:13:40
Introduction,. chosen from a finite or countably infinite set Y at consecutive time points. As a rule, the message symbols are subject to random distortions — generally referred to as noise — thus the set Ỹ of possible received symbols may be different from Y. The sets Y and Ỹ are referred to as input and output