HIGH IMPACT FACTOR - 2.39

Applications of Information Theory in Communication Engg

Author(s):

Prof. Sumita Chandak , Atharva College of Engineering University of Mumbai, India; Prof. Reena Mahe, Atharva College of Engineering University of Mumbai, India; Prof. Nileema Pathak, Atharva College of Engineering University of Mumbai, India; Prof. Renuka Nagpure, Atharva College of Engineering University of Mumbai, India; Prof. K Tejaswi, Atharva College of Engineering University of Mumbai, India

Keywords:

Entropy, Huffman Coding, Arithmetic Coding, DCT, Quantization, JPEG, MPEG, Block Codes, Convolution Codes, Error Control Coding

Abstract

Coding applications have grown rapidly in the past several years with cost-effective performance demonstrated to increase the efficiency and reliability of communication. An overview of the many practical applications of source coding and channel coding theory in the past are presented. The following application areas are included: text compression, audio and video compression, satellite communication, data transmission, data storage, mobile communication, files transfer, and digital audio/video transmission. Although no attempt is made to be comprehensive in our coverage, the examples chosen clearly illustrate the richness, variety, and importance of compression and error-control coding methods in modern digital applications.

Other Details

Paper ID: NCTAAP037
Published in: Conference 4 : NCTAA 2016
Publication Date: 29/01/2016
Page(s): 159-166

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