DocumentCode
3145882
Title
Adaptive source modeling using conditioning tree with maximum entropy reduction criterions
Author
Lu, Cheng-Chang ; Choong, Ngee-Boo
Author_Institution
Dept. of Math. & Comput. Sci., Kent State Univ., OH, USA
fYear
1991
fDate
8-11 Apr 1991
Firstpage
423
Abstract
Extended summary form only given. Adaptive implementations are presented for source modeling, and all are based on the maximum entropy reduction criterion. Lists of pin states used in digital electronic circuit cards and text are used in simulations. From the simulation results, the scheme achieves satisfactory compression performance and substantially simpler implementation
Keywords
data compression; entropy; simulation; trees (mathematics); adaptive source modelling; compression performance; conditioning tree; maximum entropy reduction criterion; pin states; simulation results; Adaptive systems; Context modeling; Data compression; Entropy; Mathematical model; Mathematics; Memory management; Milling machines; Random access memory; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 1991. DCC '91.
Conference_Location
Snowbird, UT
Print_ISBN
0-8186-9202-2
Type
conf
DOI
10.1109/DCC.1991.213338
Filename
213338
Link To Document