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Keywords
(2)
Information Theory
Reliable Communication
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(187)
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Information theory and reliable communication
Information theory and reliable communication,Robert G. Gallager
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Information theory and reliable communication
(
Citations: 2909
)
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Robert G. Gallager
Published in 1968.
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Citation Context
(1507)
...Remark 1: Theorems 1 and 2 remain valid for generally stationary ergodic sources . However, the technique adopted in the proof of the classic source coding theorem for a single ergodic source [
9
], [2] can not be applied here...
En-Hui Yang
,
et al.
Rate Distortion Theory for Causal Video Coding: Characterization, Comp...
...For rates which are not low, however, a more useful bound is the random coding exponent [
14
]...
...1 [[4]]We note that one could obtain a converse bound using the sphere packing bound [
14
]...
Serdar Yuksel
,
et al.
Control Over Noisy Forward and Reverse Channels
...As a consequence, instead of backward decoding [3], decoding is done independently at the end of each block by using joint ML decoding [
13
] over all three time slots...
...be this event.The error events at each user can be analyzed as in [
13
]...
...We want to find upper bounds for all error probabilities given in Section III-D. We will follow the procedure in [1], [
13
]...
...Then for any 0 ≤ ρ ≤ 1, the probability of the event ϑ can be expressed as shown in equation (7) [1], [
13
]...
Ahmad Abu Al Haija
,
et al.
A half-duplex cooperative scheme with partial decode-forward relaying
...Lemma 1: [
13
] The function is convex for , and is concave for ...
...First, we generate the random code with size , which is described by the independent and identical random variables subject to the distribution on . For integers let be the maximum likelihood decoder of the code . Gallager [
13
] showed that the ensemble expectation of the average error probability concerning decoding the inputmessage islessthan for . Here, we choose a function from a function ensemble satisfying Conditions 1 and 2. After ...
Masahito Hayashi
.
Exponential Decreasing Rate of Leaked Information in Universal Random ...
...Capacity of waveform channels has been extensively studied in the continuous domain [
1
]...
Yuxin Chen
,
et al.
Shannon meets Nyquist: Capacity limits of sampled analog channels
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Citations
(2909)
Rate Distortion Theory for Causal Video Coding: Characterization, Computation Algorithm, and Comparison
(
Citations: 4
)
En-Hui Yang
,
Lin Zheng
,
Da-Ke He
,
Zhen Zhang
Journal:
IEEE Transactions on Information Theory - TIT
, vol. 57, no. 8, pp. 5258-5280, 2011
Control Over Noisy Forward and Reverse Channels
(
Citations: 7
)
Serdar Yuksel
,
Tamer Basar
Journal:
IEEE Transactions on Automatic Control - IEEE TRANS AUTOMAT CONTR
, vol. 56, no. 5, pp. 1014-1029, 2011
A half-duplex cooperative scheme with partial decode-forward relaying
(
Citations: 3
)
Ahmad Abu Al Haija
,
Mai Vu
Conference:
IEEE International Symposium on Information Theory - ISIT
, pp. 1886-1890, 2011
Bit-Interleaved Coded Modulation with Mismatched Decoding Metrics
(
Citations: 3
)
Trung Thanh Nguyen
,
Lutz H.-J. Lampe
Journal:
IEEE Transactions on Communications - TCOM
, vol. 59, no. 2, pp. 437-447, 2011
Performance of Weighted Nonbinary Repeat-Accumulate Codes over GF(q) with q-ary Orthogonal Modulation
(
Citations: 3
)
Yongsang Kim
,
Kyungwhoon Cheun
,
Hyuntack Lim
Journal:
IEEE Transactions on Communications - TCOM
, vol. 59, no. 5, pp. 1208-1212, 2011