Information theory provides a mathematical framework for quantifying information and uncertainty, forming the backbone of modern communication, signal processing, and data analysis. Central to this ...

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 ...

Big Data gets bigger and bigger every day. But while a great deal more data is being generated and captured today than ever before, a lot of it is repetitive, erroneous, or just banal. Yes, it’s data, ...

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 ...

Exactly 200 years ago, a French engineer introduced an idea that would quantify the universe’s inexorable slide into decay. But entropy, as it’s currently understood, is less a fact about the world ...

Entropy and information theory form a cornerstone of modern statistical and communication sciences. Entropy serves as a fundamental measure of uncertainty and information content in both physical and ...