A distributed binary hypothesis testing (HT) problem over a noisy (discrete and memoryless) channel studied previously by the authors is investigated from the perspective of the strong converse property. It was shown by Ahlswede and Csiszar that a strong converse holds in the above setting when the channel is rate-limited and noiseless. Motivated by this observation, we show that the strong converse continues to hold in the noisy channel setting for a special case of HT known as testing against independence (TAI), under the assumption that the channel transition matrix has non-zero elements. The proof utilizes the blowing up lemma and the recent change of measure technique of Tyagi and Watanabe as the key tools.

Strong Converse for Testing Against Independence over a Noisy channel / Sreekumar, S.; Gunduz, D.. - 2020-:(2020), pp. 1283-1288. (Intervento presentato al convegno 2020 IEEE International Symposium on Information Theory, ISIT 2020 tenutosi a usa nel 2020) [10.1109/ISIT44484.2020.9174170].

Strong Converse for Testing Against Independence over a Noisy channel

Gunduz D.
2020

Abstract

A distributed binary hypothesis testing (HT) problem over a noisy (discrete and memoryless) channel studied previously by the authors is investigated from the perspective of the strong converse property. It was shown by Ahlswede and Csiszar that a strong converse holds in the above setting when the channel is rate-limited and noiseless. Motivated by this observation, we show that the strong converse continues to hold in the noisy channel setting for a special case of HT known as testing against independence (TAI), under the assumption that the channel transition matrix has non-zero elements. The proof utilizes the blowing up lemma and the recent change of measure technique of Tyagi and Watanabe as the key tools.
2020
2020 IEEE International Symposium on Information Theory, ISIT 2020
usa
2020
2020-
1283
1288
Sreekumar, S.; Gunduz, D.
Strong Converse for Testing Against Independence over a Noisy channel / Sreekumar, S.; Gunduz, D.. - 2020-:(2020), pp. 1283-1288. (Intervento presentato al convegno 2020 IEEE International Symposium on Information Theory, ISIT 2020 tenutosi a usa nel 2020) [10.1109/ISIT44484.2020.9174170].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1220044
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