A Study of Different Data Compression Techniques

Shashank Gautam: A Study of Different Data Compression Techniques. In: International Transaction on Engineering and Science (ITES), 1 (1), pp. 4, 2018.

Abstract

Data compression refers to reducing the volume of space needed to keep data or reducing the amount of time required to transmit the data. The size of data is diminished by removing the unnecessary information. In this paper many different data compression techniques have been studied such as Shannon Fano, Shannon Fano Elias, Huffman binary and ternary coding. It is found that Huffman coding is most suitable from the among techniques as it provides smallest codeword length.

BibTeX (Download)

@article{ITG_454,
title = {A Study of Different Data Compression Techniques},
author = {Shashank Gautam},
url = {https://itgjournal.com/wp-content/uploads/2018/12/ITG_454.pdf},
year  = {2018},
date = {2018-12-22},
journal = {International Transaction on Engineering and Science (ITES)},
volume = {1},
number = {1},
pages = {4},
abstract = {Data compression refers to reducing the volume of space needed to keep data or reducing the amount of time required to transmit the data. The size of data is diminished by removing the unnecessary information. In this paper many different data compression techniques have been studied such as Shannon Fano, Shannon Fano Elias, Huffman binary and ternary coding. It is found that Huffman coding is most suitable from the among techniques as it provides smallest codeword length.},
keywords = {ITES, Volume 1 Issue 1},
pubstate = {published},
tppubtype = {article}
}