Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Wavelet Scattering Transforms Applied to Whale Vocalisations

Thesis (PhD)--Stellenbosch University, 2026.

Saved in:
Bibliographic Details
Main Author: Rademan, Marco Wiehann
Other Authors: Versfeld, Daniel J. J.
Format: Thesis
Language:English
Published: Stellenbosch : Stellenbosch University 2026
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613827275685888
access_status_str Open Access
author Rademan, Marco Wiehann
author2 Versfeld, Daniel J. J.
author_browse Rademan, Marco Wiehann
Versfeld, Daniel J. J.
author_facet Versfeld, Daniel J. J.
Rademan, Marco Wiehann
author_sort Rademan, Marco Wiehann
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (PhD)--Stellenbosch University, 2026.
format Thesis
id oai:scholar.sun.ac.za:10019.1/135919
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:42:19.474Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2026
publishDateRange 2026
publishDateSort 2026
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/135919 Wavelet Scattering Transforms Applied to Whale Vocalisations Rademan, Marco Wiehann Versfeld, Daniel J. J. Du Preez, Johan A. Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Thesis (PhD)--Stellenbosch University, 2026. Rademan, M. W. 2026. Wavelet Scattering Transforms Applied to Whale Vocalisations. Unpublished doctoral dissertation. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/3b33fd6b-e8d2-49f0-8d4b-8275ca1a6206 In this dissertation by publication, presented as three journal papers, we investigate the application of wavelet scattering transforms to whale vocalisations. We first consider how wavelet transforms can provide an alternative time-frequency decomposition for use in signal detectors. Detectors typically utilise the short-time Fourier transform (STFT), for which the continuous wavelet transform (CWT) serves as a suitable alternative. As an additional contribution, we improve upon the spectral entropy (SE) detector, which is known to be superior in terms of signal detection compared to energy detectors. In the second publication, we expand on the connection of the CWT to wavelet scattering. Wavelet scattering is a feature extraction method akin to the filters of a convolutional neural network frontend and mel-frequency cepstral coefficients. We show that wavelet scattering coefficients can be combined with a SE detector, which can be fed in to a classification system. We further improve upon the SE detector and provide a critical discussion on the challenges faced on a real-world dataset. Finally, the concepts established in the previous papers are used to construct an entirely new and generalised form of the wavelet scattering transform — joint n-dimensional scattering. We extend the definition of one-dimensional scattering to an arbitrary number of signal dimensions by utilising separable filters. Joint scattering benefits from various computational and conceptual advantages, which have not been generalised to this extent in the current literature. Doctoral 2026-04-15T08:18:39Z 2026-04-15T08:18:39Z 2026-03 Thesis https://scholar.sun.ac.za/handle/10019.1/135919 en Stellenbosch University 184 pages application/pdf Stellenbosch : Stellenbosch University
spellingShingle Rademan, Marco Wiehann
Wavelet Scattering Transforms Applied to Whale Vocalisations
title Wavelet Scattering Transforms Applied to Whale Vocalisations
title_full Wavelet Scattering Transforms Applied to Whale Vocalisations
title_fullStr Wavelet Scattering Transforms Applied to Whale Vocalisations
title_full_unstemmed Wavelet Scattering Transforms Applied to Whale Vocalisations
title_short Wavelet Scattering Transforms Applied to Whale Vocalisations
title_sort wavelet scattering transforms applied to whale vocalisations
url https://scholar.sun.ac.za/handle/10019.1/135919
work_keys_str_mv AT rademanmarcowiehann waveletscatteringtransformsappliedtowhalevocalisations