TY - GEN
T1 - Variable-length lossy compression allowing positive overflow and excess distortion probabilities
AU - Saito, Shota
AU - Yagi, Hideki
AU - Matsushima, Toshiyasu
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported in part by JSPS KAKENHI Grant Numbers 26289119, 16K00195, 16K06340, and 17K06446.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/9
Y1 - 2017/8/9
N2 - 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.
AB - 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.
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U2 - 10.1109/ISIT.2017.8006793
DO - 10.1109/ISIT.2017.8006793
M3 - Conference contribution
AN - SCOPUS:85034116704
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1568
EP - 1572
BT - 2017 IEEE International Symposium on Information Theory, ISIT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Symposium on Information Theory, ISIT 2017
Y2 - 25 June 2017 through 30 June 2017
ER -