Analysis of Humpback Whale Songs using Information Theory Techniques

This project explores the structure and predictability of humpback whale songs through the lens of information theory. First, a variety of samples of humpback whale songs will be converted into sequences of symbols, done with automated and human classifiers separately. Then, these sequences will be investigated using both parametric and nonparametric entropy estimators, to gain insight into how much information these songs communicate, and determine whether their structure is hierarchical.

Macey Lawson

University of Adelaide

Macey Lawson is an undergraduate student studying a Bachelor of Mathematical Sciences (Advanced) at the University of Adelaide. She is passionate about applied mathematics, and is particularly interested in the fields of space science and information theory. As an avid lover of the arts, Macey is constantly seeking out the spaces where creativity meets mathematics.

You may be interested in

Daniel Claassen

Daniel Claassen

Extreme Events and Critical Fluctuations in Generated Time Series Data
Sophie Giraudo

Sophie Giraudo

Statistical Analysis of Complex Proteomics Mass Spectrometry Data
Jonathan Skelton

Jonathan Skelton

The 3-Body Problem in 4 Dimensions
Jeremy Sterjovski

Jeremy Sterjovski

How Is American Option Optimal Price Affected by Transaction Costs?
Contact Us

We're not around right now. But you can send us an email and we'll get back to you, asap.

Not readable? Change text.