FAMILY OF MEASURES OF INFORMATION | WITH THEIR APPLICATIONS IN CODING THEORY AND CHANNEL CAPACITY

Rohit Kumar Verma

ISBN 10: 6206154475 / ISBN 13: 9786206154471

Published by LAP LAMBERT Academic Publishing, 2023

About this Item

FAMILY OF MEASURES OF INFORMATION | WITH THEIR APPLICATIONS IN CODING THEORY AND CHANNEL CAPACITY | Rohit Kumar Verma | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206154471 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 126871882

Bibliographic Details

• Title: FAMILY OF MEASURES OF INFORMATION | WITH THEIR APPLICATIONS IN CODING THEORY AND CHANNEL CAPACITY
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2023
• Language: English
• ISBN 10: 6206154475
• ISBN 13: 9786206154471
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 221 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.