FAMILY OF MEASURES OF INFORMATION - WITH THEIR APPLICATIONS IN CODING THEORY AND CHANNEL CAPACITY. DE

This research book extends my former research book, A New Approach in Mathematical Theory of Communication, by discussing a modified version of Verma information measurement. The Verma and Modified Verma information measures, as well as their implications for coding theory in various contexts, impacts on channel capacity in noisy state, and optimality, which are specific examples of it, have been discussed in all of the chapters of this research book. The limiting cases of modified Verma entropy are Shannon, Renyi, Havarda-Charvat, Tsallis, etc. and this unique beauty makes it possible to compare it to a drop in the ocean. I have every confidence that this research book will turn out to be a fresh glimmer of hope for the young scientists studying channel capacity, coding theory, and information theory.

About the author

É um autor bem conhecido no domínio do âmbito da revista. Obteve o seu diploma superior na RSU, Raipur (C.G.) e trabalhou numa instituição de engenharia durante mais de uma década. Actualmente, trabalha como Professor Associado e HOD, Departamento de Matemática, Bharti Vishwavidyalaya, Durg (C.G.).

Product details

• Authors: Dr. Rohit Kumar Verma, Rohit Kumar Verma
• Publisher: LAP Lambert Academic Publishing
• Languages: English
• Product format: Paperback / Softback
• Released: 05.04.2023
• EAN: 9786206154471
• ISBN: 9786206154471
• No. of pages: 136
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics