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- W2785442021 abstract "This work addresses the design of a sequential code for correlated sources using entropy-constrained scalar quantization at each encoder. We consider discrete sources and propose a globally optimal algorithm to minimize a weighted sum of distortions and rates. Our algorithm is based on solving the minimum weight path problem in a series of appropriately constructed weighted directed acyclic graphs. Its asymptotical time complexity is O(N2 1 N2 2 ), where N 1 and N 2 denote the alphabet sizes of the two sources, respectively." @default.
- W2785442021 created "2018-02-23" @default.
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- W2785442021 date "2017-11-01" @default.
- W2785442021 modified "2023-09-27" @default.
- W2785442021 title "Design of optimal entropy-constrained scalar quantizer for sequential coding of correlated sources" @default.
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- W2785442021 doi "https://doi.org/10.1109/itw.2017.8277952" @default.
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