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University of Illinois at Urbana-Champaign
Shear Madness: Signal-Dependent and Metaplectic Time-Frequency Representations
Abstract
dc:descriptionTime-frequency representations are multidimensional transformations that indicate the joint time-frequency content of a signal. Representations such as the wavelet transform, the short-time Fourier transform, and the Wigner distribution have proven to be powerful tools for signal analysis and processing; however, current techniques are not without their drawbacks. This thesis presents two new approaches to time-frequency analysis that attempt to overcome two of the primary limitations inherent in current techniques.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Electrical Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2014
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Baraniuk, Richard Gordon
- Contributors dc:contributor
-
- Jones, Douglas L.
Subjects
dc:subject × 2Identifiers
dc:identifier.*- Identifier
- (UMI)AAI9305460
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/71974