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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.
| Autorius: | Rohit Kumar Verma |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2023 |
| Knygos puslapių skaičius: | 136 |
| ISBN-10: | 6206154475 |
| ISBN-13: | 9786206154471 |
| Formatas: | 220 x 150 x 9 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „FAMILY OF MEASURES OF INFORMATION: WITH THEIR APPLICATIONS IN CODING THEORY AND CHANNEL CAPACITY“
