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
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;
Conference_Titel :
Data Compression Conference, 1991. DCC '91.
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-9202-2
DOI :
10.1109/DCC.1991.213338
