Non-Shannon Perspective on Channel Capacity for Binary Source Codes Using Weighted Conditional Entropy

Rohit Kumar Verma *

Department of Mathematics, Bharti Vishwavidyalaya, Durg, C.G., India.

Som Kumari

Department of Mathematics, Bharti Vishwavidyalaya, Durg, C.G., India.

*Author to whom correspondence should be addressed.


Abstract

Discrete memory-free channels with a very low capacity are known as noisy channels. Our recent study has yielded some new insights into the channel capacity of noisy channels, which could prove useful in the development of mathematical models for these channels and other contexts.

Keywords: Non Shannon entropy, channel capacity, weighted entropy, conditional entropy, mutual information, information theory etc


How to Cite

Verma , Rohit Kumar, and Som Kumari. 2023. “Non-Shannon Perspective on Channel Capacity for Binary Source Codes Using Weighted Conditional Entropy”. Asian Research Journal of Mathematics 19 (11):159-64. https://doi.org/10.9734/arjom/2023/v19i11762.

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