Combining adaptive
contextual modeling
and entropy coding in compression software
Nowadays data compression is a very important research field. It is used in many
applications of communications and computing. But most of the modern industrial
standards are based upon computationally very simple, but not very effective
schemes. In this work a very effective, but still computationally not very hard
approach to lossless compression is shown. Additionally an archive that uses
such an approach is developed.
Konstantin MULYARCHIK (17)
City/Region: Minsk
E-mail: kastysik@tut.by
Hobbies: Computers, Table tennis, Formula-1, Gardening, Cooking
Career: Computer Engineer
School: Lyceum of the Belarus State University (Lyceum BSU)
Dmitriy ZUSIN (17)
City/Region: Minsk
E-mail: BlackWax@tut.by
Hobbies: Computers, Table tennis, Mountain skiing, Physics
Career: Physicist
School: Lyceum of the Belarus State University (Lyceum BSU)
Dirty drops or how to walk neatly
The problem of “neatly-walking” is rather actual especially taking into
account that yet we can’t avoid pools and mud on the roads. In report
the investigation of this topic is shown. The reason why the dirty drop
falls on the leg has been found. The coefficient of the power of dirtying
of the clothes has been experimentally defined. On the basis of our investigation
we have given some pieces of advice on the so-called “neatly-walking”.
