WE1.PA2.7
Scalable Extraction of Analytic Eigenvalues from a Parahermitian Matrix
Faizan Khattak, Ian Proudler, Stephan Weiss, University of Strathclyde, United Kingdom
Session:
WE1.PA2: Matrices of Functions: Diagonalisation and Applications Poster
Track:
Special Sessions
Location:
Poster Area 2
Presentation Time:
Wed, 28 Aug, 10:30 - 12:30 France Time (UTC +1)
Session Co-Chairs:
Stephan Weiss, University of Strathclyde and Sebastian J. Schlecht, Aalto University
Presentation
Discussion
Resources
No resources available.
Session WE1.PA2
WE1.PA2.1: Reconstructing Analytic Dinosaurs: Polynomial Eigenvalue Decomposition for Eigenvalues with Unmajorised Ground Truth
Sebastian J. Schlecht, Aalto University, Finland; Stephan Weiss, University of Strathclyde, United Kingdom
WE1.PA2.2: Source Detection and Tracking for Underwater Distributed Acoustic Sensing
Konstantinos Theofilos Drylerakis, University of Southampton, United Kingdom; Mohammad Belal, National Oceanography Centre, United Kingdom; Rafael Mestre, Timothy J. Norman, Christine Evers, University of Southampton, United Kingdom
WE1.PA2.3: Extraction of Analytic Singular Values of a Polynomial Matrix
Faizan A. Khattak, Mohammed Bakhit, Ian K. Proudler, Stephan Weiss, University of Strathclyde, United Kingdom
WE1.PA2.4: Extraction of the Natural Poles of the Radio Scattered Field from a Multi-Port Channel Matrix
Frank Ebong, Andrea Tonello, University of Klagenfurt, Austria
WE1.PA2.5: NEURAL NETWORKS FOR COMPUTING EIGENVALUES OF PARAHERMITIAN MATRICES
Diyari Hassan, Qaiwan International University, Iraq; Yunus Egi, Soydan Redif, American University of the Middle East, Kuwait
WE1.PA2.6: DETECTION OF WEAK TRANSIENT BROADBAND SIGNALS USING A POLYNOMIAL SUBSPACE AND LIKELIHOOD RATIO TEST APPROACH
Cornelius Pahalson, Louise Crockett, Stephan Weiss, University of Strathclyde, United Kingdom
WE1.PA2.7: Scalable Extraction of Analytic Eigenvalues from a Parahermitian Matrix
Faizan Khattak, Ian Proudler, Stephan Weiss, University of Strathclyde, United Kingdom