Derivation and Development of Noise Channel Information Transmission Capacity

DOI

10.2991/ncce-18.2018.89How to use a DOI?

Keywords

Channel; theorem; derivation; spectrum communication; a limit discretization

Abstract

In this paper, we derive one of Shannon's theorems, the maximum capacity theorem of noisy channels :. The derivation of noisy continuous channel capacity is based on the derivation of discrete channels and most of the conclusions are a limit discretization of the corresponding theorems of discrete channels. The channel capacity is the maximum transmission rate of the information, which is the difference between the source entropy and the loss information entropy. By using both the noise and the signal independently, the channel capacity can be obtained as the entropy difference between the received signal and the white Gaussian noise. Based on this theorem, the channel capacity can be further improved in the project, such as spread spectrum communication

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yutong Li
PY  - 2018/05
DA  - 2018/05
TI  - Derivation and Development of Noise Channel Information Transmission Capacity
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 560
EP  - 564
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.89
DO  - 10.2991/ncce-18.2018.89
ID  - Li2018/05
ER  -