Compression and Geometric Data


Essay, 2012

6 Pages, Grade: A [4.00]


Abstract or Introduction

The paper presents theoretical and applied aspects to linear binary sequential strings for compression of geometric data. Both random and non-random sequential binary strings are used to compress using an algorithmic complexity program that will compress both random and non-random data strings to compression levels beyond existing norms.

Details

Title
Compression and Geometric Data
Course
Physics
Grade
A [4.00]
Author
Year
2012
Pages
6
Catalog Number
V199139
ISBN (eBook)
9783656334163
ISBN (Book)
9783656645276
File size
3737 KB
Language
English
Keywords
compression, geometric, data
Quote paper
Professor Bradley Tice (Author), 2012, Compression and Geometric Data, Munich, GRIN Verlag, https://www.grin.com/document/199139

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