@inproceedings{d5d94314e8504bfcbea84a0b62138241,
title = "Transmitting k samples over the Gaussian channel: Energy-distortion tradeoff",
abstract = "We investigate the minimum transmitted energy required to reproduce k source samples with a given fidelity after transmission over a memoryless Gaussian channel. In particular, we analyze the reduction in transmitted energy that accrues thanks to the availability of noiseless feedback. Allowing a nonvanishing excess distortion probability ∈ boosts the asymptotic fundamental limit by a factor of 1-∈, with or without feedback. If feedback is available, achieving guaranteed distortion with finite average energy is possible.",
keywords = "Gaussian channels, Joint source-channel coding, Shannon theory, energy distortion Tradeoff, feedback, finite-blocklength regime, lossy compression, memoryless channels, rate-distortion theory, single-shot method",
author = "Victoria Kostina and Yury Polyanskiy and Sergio Verdu",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE Information Theory Workshop, ITW 2015 ; Conference date: 26-04-2015 Through 01-05-2015",
year = "2015",
month = jun,
day = "24",
doi = "10.1109/ITW.2015.7133162",
language = "English (US)",
series = "2015 IEEE Information Theory Workshop, ITW 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 IEEE Information Theory Workshop, ITW 2015",
address = "United States",
}