On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests
Anusha Lalitha,
Tara Javidi
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 almostfixed-length channel coding strategies can achieve Burnashev's optimal error exponent. Similarly, almost-fixed length hypothesis tests are shown to br… Show more
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