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

Author(s)	Amrita Pratap, Vijit Chaturvedi, Ram Pratap
Country	India
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.
Keywords	Shannon's Information Entropy, Redundancy in the language, Redundant information, File compression, ASCII Representation
Field	Business Administration
Published In	Volume 6, Issue 4, July-August 2024
Published On	2024-08-19
Cite This	The Economics of Digital Communication from Words to Bytes: Concerns for Leadership - Amrita Pratap, Vijit Chaturvedi, Ram Pratap - IJFMR Volume 6, Issue 4, July-August 2024. DOI 10.36948/ijfmr.2024.v06i04.25717
DOI	https://doi.org/10.36948/ijfmr.2024.v06i04.25717
Short DOI	https://doi.org/gt7m66

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