Stochastic Codebook Regeneration for Sequential Compression of Continuous Alphabet Sources

This paper proposes an effective and asymptotically optimal framework for stochastic, adaptive codebook regeneration for sequential ("on the fly") lossy coding of continuous alphabet sources. Earlier work has shown that the rate-distortion bound can be asymptotically achieved for discrete...

Full description

Bibliographic Details

Published in:	2021 IEEE International Symposium on Information Theory (ISIT) pp. 2768 - 2773
Main Authors:	Elshafiy, Ahmed, Namazi, Mahmoud, Zamir, Ram, Rose, Kenneth
Format:	Conference Proceeding
Language:	English
Published:	IEEE 12.07.2021
Subjects:	Distortion Encoding Extraterrestrial measurements Iterative algorithms Length measurement Maximum likelihood estimation Rate-distortion
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!