Withdraw
Loading…
Multidimensional and multivariate empirical mode decomposition
Thirumalaisamy, Mruthun R.
Content Files

Loading…
Download Files
Loading…
Download Counts (All Files)
Loading…
Edit File
Loading…
Permalink
https://hdl.handle.net/2142/104911
Description
- Title
- Multidimensional and multivariate empirical mode decomposition
- Author(s)
- Thirumalaisamy, Mruthun R.
- Issue Date
- 2019-04-26
- Director of Research (if dissertation) or Advisor (if thesis)
- Ansell, Phillip J.
- Department of Study
- Aerospace Engineering
- Discipline
- Aerospace Engineering
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- M.S.
- Degree Level
- Thesis
- Date of Ingest
- 2019-08-23T20:01:15Z
- Keyword(s)
- empirical mode decomposition
- modal analysis
- Abstract
- Over the last decade, Empirical Mode Decomposition (EMD) has developed into a versatile tool for adaptive, scale-based modal decomposition. EMD has proven to be capable of decomposing multivariate signals with cross-channel mode alignment. However, the algorithms for envelope identification in multivariate EMD come with a computational burden rendering it unsuitable for the large computational demands of multidimensional signal processing. The current work introduces an alternative approach to multivariate EMD, and by combining it with existing fast and adaptive algorithms, paves the way for performing multivariate EMD on multidimensional signals. The application of the algorithm developed through the current study, when applied to the Direct Numerical Simulation (DNS) of a flat-plate boundary layer (a large dataset), revealed the desired scale separation behaviour across multiple data channels. This proves that the algorithm could be useful for a broad range of future problems.
- Graduation Semester
- 2019-05
- Type of Resource
- text
- Permalink
- http://hdl.handle.net/2142/104911
- Copyright and License Information
- Copyright 2019 Mruthun Thirumalaisamy
Owning Collections
Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at IllinoisManage Files
Loading…
Edit Collection Membership
Loading…
Edit Metadata
Loading…
Edit Properties
Loading…
Embargoes
Loading…