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The Prospects of Optimization Theory Application for Solvin..:

, In: 2022 24th International Conference on Digital Signal Processing and its Applications (DSPA),

Zolotarev, V.V. ; Ovechkin, G.V. ; Zung, Ch. T. - p. 1-5 , 2022

Link: https://doi.org/10.1109/DSPA53304.2022.9790742

RT 
T1 <cTitle>2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)</cTitle>: T1 <Title>The Prospects of Optimization Theory Application for Solving Shannon Problem</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9790742&Exemplar=1&LAN=DE
				
A1 Zolotarev, V.V.
A1 Ovechkin, G.V.
A1 Zung, Ch. T.
YR 2022
K1 Measurement
K1 Viterbi algorithm
K1 Digital systems
K1 Signal processing algorithms
K1 Digital signal processing
K1 Decoding
K1 Complexity theory
K1 Shannon's bound
K1 channel capacity
K1 the binary symmetric channel
K1 complexity of algorithms
K1 the search for global extremum of a functional
K1 the "NVC" criterion
K1 optimal decoding
K1 Optimization Theory
K1 block Viterbi algorithm
K1 coding theory
K1 multithreshold decoders
K1 the parallel concatenation
K1 divergence
K1 the decoders with direct metrics control
SP 1
OP 5
LK http://dx.doi.org/https://doi.org/10.1109/DSPA53304.2022.9790742
DO https://doi.org/10.1109/DSPA53304.2022.9790742
SF ELIB - SuUB Bremen

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