On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests

Anusha Lalitha; Tara Javidi

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arXiv · 2012.00077

On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests

Anusha Lalitha·Tara Javidi

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Abstract

We examine a new class of channel coding strategies, and hypothesis tests referred to as almost-fixed-length strategies that have little flexibility in the stopping time over fixed-length strategies. The stopping time of these strategies is allowed to be slightly large only on a rare set of sample paths with an exponentially small probability. We show that almost-fixed-length channel coding strategies can achieve Burnashev's optimal error exponent. Similarly, almost-fixed length hypothesis tests are shown to bridge the gap between hypothesis testing with fixed sample size and sequential hypothesis testing and improve the trade-off between type-I and type-II error exponents.

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Anusha Lalitha, Tara Javidi. 2020-11-30. On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests. https://arxiv.org/abs/2012.00077

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