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- W2950952608 abstract "An encoder wishes to minimize the bit rate necessary to guarantee that a decoder is able to calculate a symbolwise function of a sequence available only at the encoder and a sequence that can be measured only at the decoder. This classical problem, first studied by Yamamoto, is addressed here by including two new aspects: (i) The decoder obtains noisy measurements of its sequence, where the quality of such measurements can be controlled via a cost-constrained action sequence; (ii) Measurement at the decoder may fail in a way that is unpredictable to the encoder, thus requiring robust encoding. The considered scenario generalizes known settings such as the Heegard-Berger-Kaspi and the source coding with a vending machine problems. The rate-distortion-cost function is derived and numerical examples are also worked out to obtain further insight into the optimal system design." @default.
- W2950952608 created "2019-06-27" @default.
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- W2950952608 date "2011-08-07" @default.
- W2950952608 modified "2023-09-23" @default.
- W2950952608 title "Robust Coding for Lossy Computing with Receiver-Side Observation Costs" @default.
- W2950952608 hasPublicationYear "2011" @default.
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