The Economics of Digital Communication from Words to Bytes: Concerns for Leadership

Shannon's Information Entropy model has been modified such that it is free from limitations like human variability, and tesxt sample bias. Redundancy in the English language has been calculated which decides the compression of the data file. The Information entropy in bits per character is calculated from the extended calculation based on our model and has been compared with the ASCII representation of 8 bits per character.

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Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-08-19
DOI
https://doi.org/10.36948/ijfmr.2024.v06i04.25717
Primary Topic
Algorithms and Data Compression
Type
article
Field-Weighted Citation Impact
0.00
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article

The Economics of Digital Communication from Words to Bytes: Concerns for Leadership

Amrita Pratap -, Vijit Chaturvedi -, Ram Pratap -
International Journal For Multidisciplinary Research
Algorithms and Data Compression
article

The Economics of Digital Communication from Words to Bytes: Concerns for Leadership

Amrita Pratap -, Vijit Chaturvedi -, Ram Pratap -
article en

Abstract

Shannon's Information Entropy model has been modified such that it is free from limitations like human variability, and tesxt sample bias. Redundancy in the English language has been calculated which decides the compression of the data file. The Information entropy in bits per character is calculated from the extended calculation based on our model and has been compared with the ASCII representation of 8 bits per character.

International Journal For Multidisciplinary ResearchVol. 6(4)
Amity University (IN), Indira Gandhi National Open University (IN)
Openalex Percentile: Top 89%
Algorithms and Data Compression
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