Utvidet returrett til 31. januar 2025

FAMILY OF MEASURES OF INFORMATION

Om FAMILY OF MEASURES OF INFORMATION

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.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9786206154471
  • Bindende:
  • Paperback
  • Sider:
  • 136
  • Utgitt:
  • 5. april 2023
  • Dimensjoner:
  • 150x9x220 mm.
  • Vekt:
  • 221 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 12. desember 2024

Beskrivelse av FAMILY OF MEASURES OF INFORMATION

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.

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