Weighted Burrows-Wheeler Compression

05/21/2021
by   Aharon Fruchtman, et al.
0

A weight based dynamic compression method has recently been proposed, which is especially suitable for the encoding of files with locally skewed distributions. Its main idea is to assign larger weights to closer to be encoded symbols by means of an increasing weight function, rather than considering each position in the text evenly. A well known transformation that tends to convert input files into files with a more skewed distribution is the Burrows-Wheeler Transform. This paper employs the weighted approach on Burrows-Wheeler transformed files and provides empirical evidence of the efficiency of this combination.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/13/2021

Improving Run Length Encoding by Preprocessing

The Run Length Encoding (RLE) compression method is a long standing simp...
research
12/02/2021

Neural Weight Step Video Compression

A variety of compression methods based on encoding images as weights of ...
research
11/11/2019

Dv2v: A Dynamic Variable-to-Variable Compressor

We present Dv2v, a new dynamic (one-pass) variable-to-variable compresso...
research
07/15/2021

Compressing Multisets with Large Alphabets

Current methods that optimally compress multisets are not suitable for h...
research
02/13/2021

Discrete Cosine Transform in JPEG Compression

Image Compression has become an absolute necessity in today's day and ag...
research
01/15/2008

MathPSfrag 2: Convenient LaTeX Labels in Mathematica

This article introduces the next version of MathPSfrag. MathPSfrag is a ...
research
06/05/2020

A New Method Towards Speech Files Local Features Investigation

There are a few reasons for the recent increased interest in the study o...

Please sign up or login with your details

Forgot password? Click here to reset