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Decoding methods
Known as:
Mimimum distance decoding
, Minimum distance decoding
, Ideal observer decoding
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In coding theory, decoding is the process of translating received messages into codewords of a given code. There have been many common methods of…
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Related topics
Related topics
29 relations
Berlekamp–Massey algorithm
Berlekamp–Welch algorithm
Binary code
Binary symmetric channel
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2007
2007
Distributed Space-Time Codes for Cooperative Networks with Partial CSI
Xiao-Hong Peng
IEEE Wireless Communications and Networking…
2007
Corpus ID: 2588444
Design criteria and full-diversity distributed space time codes (DSTCs) for the two phase transmission based cooperative…
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Highly Cited
2004
Highly Cited
2004
Product accumulate codes: a class of codes with near-capacity performance and low decoding complexity
Jing Li
,
K. Narayanan
,
C. Georghiades
IEEE Transactions on Information Theory
2004
Corpus ID: 18739074
We propose a novel class of provably good codes which are a serial concatenation of a single-parity-check (SPC)-based product…
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2001
2001
Performance of space-time bit-interleaved codes in fading channels with simplified iterative decoding
Andrea M. Tonello
IEEE VTS 53rd Vehicular Technology Conference…
2001
Corpus ID: 11331752
The performance of space-time bit-interleaved codes over block fading channels is considered. Decoding is based on iterative…
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1998
1998
Efficient maximum-likelihood decoding of Q-ary modulated Reed-Muller codes
A. Grant
,
R. V. Nee
IEEE Communications Letters
1998
Corpus ID: 16734483
We derive an efficient soft-decision maximum-likelihood decoding algorithm for a class of Q-ary phase-shift keyed peak-to-average…
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Highly Cited
1997
Highly Cited
1997
Symbol-by-symbol MAP demodulation of CPM and PSK signals on Rayleigh flat-fading channels
M. Gertsman
,
J. Lodge
IEEE Transactions on Communications
1997
Corpus ID: 15892320
Demodulation using the symbol-by-symbol maximum a posteriori probability (MAP) algorithm is presented. The algorithm is derived…
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1997
1997
New Iterative ("Turbo") Decoding Algorithms.
P. Höher
1997
Corpus ID: 7658387
Decoding with feedback or iterative decoding is an eecient, low-complexity means for \informa-tion handover" in any parallel or…
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Highly Cited
1995
Highly Cited
1995
Maximum likelihood decoding of uncoded and coded PSK signal sequences transmitted over Rayleigh flat-fading channels
G. Vitetta
,
Desmond P. Taylor
IEEE Transactions on Communications
1995
Corpus ID: 39152586
The problem of maximum likelihood (ML) detection for uncoded and coded M-PSK signals on Rayleigh fading channels is investigated…
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Highly Cited
1994
Highly Cited
1994
User-separating demodulation for code-division multiple-access systems
M. Rupf
,
Felix Tarköy
,
J. Massey
IEEE J. Sel. Areas Commun.
1994
Corpus ID: 36811147
A user-separating (US) demodulator for a multiple-access system with digital transmission is defined to be a demodulator that…
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Highly Cited
1974
Highly Cited
1974
A Tightened Upper Bound on the Error Probability of Binary Convolutional Codes with Viterbi Decoding
L. Meeberg
IEEE Transactions on Information Theory
1974
Corpus ID: 42306002
Tighter upper bounds on the error event and the bit error probabilities, respectively, for maximum-likelihood decoding of binary…
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1971
1971
Decoding beyond the BCH bound
C. Hartmann
1971
Corpus ID: 206731169
Abstraci-In this correspondence, a decoding algorithm to decode beyond the BCH bound is introduced. It gives a complete minimum…
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