Title :
Compressing sparse sequences under local decodability constraints
Author :
Ashwin Pananjady;Thomas A. Courtade
Author_Institution :
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, USA
fDate :
6/1/2015 12:00:00 AM
Abstract :
We consider a variable-length source coding problem subject to local decodability constraints. In particular, we investigate the blocklength scaling behavior attainable by encodings of r-sparse binary sequences, under the constraint that any source bit can be correctly decoded upon probing at most d codeword bits. We consider both adaptive and non-adaptive access models, and derive upper and lower bounds that often coincide up to constant factors. Notably, such a characterization for the fixed-blocklength analog of our problem remains unknown, despite considerable research efforts. Connections to communication complexity are also briefly discussed.
Keywords :
"Probes","Decoding","Data structures","Complexity theory","Source coding","Bioinformatics"
Conference_Titel :
Information Theory (ISIT), 2015 IEEE International Symposium on
Electronic_ISBN :
2157-8117
DOI :
10.1109/ISIT.2015.7283003