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A Lower Bound on the Expected Distortion of Joint Source-Channel Coding

Author(s)
Kochman, Yuval; Ordentlich, Or; Polyanskiy, Yury
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Abstract
We consider the classic joint source-channel coding problem of transmitting a memoryless source over a memoryless channel. The focus of this work is on the rate of convergence of the smallest attainable expected distortion to its asymptotic value, as a function of blocklength n. Our main result is that in general the convergence rate is not faster than n-1/2. In particular, we show that for the problem of transmitting i.i.d uniform bits over a binary symmetric channels with Hamming distortion, the smallest attainable distortion (bit error rate) is at least Ω(n-1/2) above the asymptotic value, if the "bandwidth expansion ratio" is above 1.
Date issued
2019-09
URI
https://hdl.handle.net/1721.1/129803
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Journal
2019 IEEE International Symposium on Information Theory (ISIT)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Kochman, Yuval et al. "A Lower Bound on the Expected Distortion of Joint Source-Channel Coding." 2019 IEEE International Symposium on Information Theory (ISIT), July 2019, Paris, France, Institute of Electrical and Electronics Engineers, September 2019. © 2019 IEEE
Version: Author's final manuscript
ISBN
9781538692912
ISSN
2157-8117

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