Information theory provides the fundamental framework for understanding and designing data compression algorithms. At its core lies the concept of entropy, a quantitative measure that reflects the ...

Coding, information theory and compression constitute the backbone of modern digital communications and data storage. Grounded in Shannon’s seminal work, information theory quantifies the ...

The identities or bounds that relate information measures (e.g., the entropy and mutual information) and estimation measures (e.g., the minimum means square error ...

1. Basic Information and Coding Theorems: entropy, Huffman Codes, Mutual Information, Channel Capacity, Shannon’s theorems; 2. Error Control Coding: Coding ...

Entropy and information are both emerging as currencies of interdisciplinary dialogue, most recently in evolutionary theory. If this dialogue is to be fruitful, there must be general agreement about ...

Ecology and Society, Vol. 19, No. 3 (Sep 2014) (9 pages) ABSTRACT. For coupled human and natural systems (CHANS), sustainability can be defined operationally as a feasible, desirable set of flows ...

If someone tells you a fact you already know, they’ve essentially told you nothing at all. Whereas if they impart a secret, it’s fair to say something has really been communicated. This distinction is ...