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Dive into the research topics where Shota Saito is active.

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Featured researches published by Shota Saito.


international symposium on information theory | 2017

Variable-length lossy compression allowing positive overflow and excess distortion probabilities

Shota Saito; Hideki Yagi; Toshiyasu Matsushima

This paper investigates the problem of variable-length lossy source coding. We deal with the case where both the excess distortion probability and the overflow probability of codeword length are less than or equal to positive constants. The infimum of the thresholds on the overflow probability is characterized by a smooth max entropy-based quantity. Both non-asymptotic and asymptotic cases are analyzed. To show the achievability results, we do not utilize the random coding argument but give an explicit code construction.


international symposium on information theory and its applications | 2014

Evaluation of the minimum overflow threshold of bayes codes for a Markov source

Shota Saito; Nozomi Miya; Toshiyasu Matsushima


international symposium on information theory and its applications | 2016

Threshold of overflow probability in terms of smooth max-entropy for variable-length compression allowing errors

Shota Saito; Toshiyasu Matsushima


IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences | 2016

Threshold of Overflow Probability Using Smooth Max-Entropy in Lossless Fixed-to-Variable Length Source Coding for General Sources

Shota Saito; Toshiyasu Matsushima


IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences | 2015

Evaluation of the Bayes Code from Viewpoints of the Distribution of Its Codeword Lengths

Shota Saito; Nozomi Miya; Toshiyasu Matsushima


international symposium on information theory | 2018

Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability

Shota Saito; Toshiyasu Matsushima


arXiv: Information Theory | 2018

Non-Asymptotic and Asymptotic Fundamental Limits of Guessing Subject to Distortion.

Shota Saito; Toshiyasu Matsushima


arXiv: Information Theory | 2018

Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance.

Jun Yoshizawa; Shota Saito; Toshiyasu Matsushima


IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences | 2017

Spatially “Mt. Fuji” Coupled LDPC Codes

Yuta Nakahara; Shota Saito; Toshiyasu Matsushima


IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences | 2017

Evaluation of Overflow Probability of Bayes Code in Moderate Deviation Regime

Shota Saito; Toshiyasu Matsushima

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Hideki Yagi

University of Electro-Communications

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