
Unlike related books, Handbook of Differential Entropy brings
together background material, derivations, and applications
of differential entropy. Suitable for students and researchers in
information theory, the book rst reviews probability theory as it
enables an understanding of the core building block of entropy. The
authors then carefully explain the concept of entropy, introducing
both discrete and differential entropy. They present detailed
derivations of differential entropy for numerous probability models
and discuss challenges with interpreting and deriving differential
entropy. They also show how differential entropy varies as a function ...