Paper Info
Title
L1-norm Principal-Component Analysis of Complex Data.
Abstract
L1-norm Principal-Component Analysis (L1-PCA) of real-valued data has attracted significant research interest over the past decade. L1-PCA of complex-valued data remains to date unexplored despite the many possible applications (in communication systems, for example). In this paper, we establish theoretical and algorithmic foundations of L1-PCA of complex-valued data matrices. Specifically, we fir...
Year
DOI
Venue
2018
10.1109/TSP.2018.2821641
IEEE Transactions on Signal Processing
Keywords
DocType
Volume
Principal component analysis,Signal processing algorithms,Robustness,Resistance,Optimized production technology,Matrix decomposition
Journal
66
Issue
ISSN
Citations 
12
1053-587X
2
PageRank 
References 
Authors
0.35
11
3
Name
Order
Citations
PageRank
Nicholas Tsagkarakis120.35
Panos Markopoulos21709181.22
Dimitris Pados320826.49