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pro vyhledávání: '"Pados, Dimitris A."'
This paper extends the recently developed framework of multilinear kernel regression and imputation via manifold learning (MultiL-KRIM) to impute time-varying edge flows in a graph. MultiL-KRIM uses simplicial-complex arguments and Hodge Laplacians t
Externí odkaz:
http://arxiv.org/abs/2409.05135
Autor:
Colonnese, Stefania, Scarano, Gaetano, Marra, Marcello, Markopoulos, Panos P., Pados, Dimitris A.
Publikováno v:
In Digital Signal Processing February 2024 145
Autor:
Huang, Song-Wen, Pados, Dimitris A.
Chirp signals have been exploited extensively in radar and underwater acoustic (UW-A) communication systems for their robustness to multipath and superior correlation properties. We present a multiuser multicarrier chirp-division multiplexing (MU-MCD
Externí odkaz:
http://arxiv.org/abs/2003.01988
Autor:
Huang, Song-Wen, Pados, Dimitris A.
We propose a multicarrier chirp-division multiplexing (MCDM) system in which orthogonal chirp waveforms are utilized as frequency subcarriers. Orthogonal characteristics of chirp subcarriers are analyzed in respect to cross-correlation coefficients a
Externí odkaz:
http://arxiv.org/abs/1812.09592
Akademický článek
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Autor:
Kulhandjian, Michel, D'Amours, Claude, Kulhandjian, Hovannes, Yanikomeroglu, Halim, Pados, Dimitris A., Khachatrian, Gurgen
We consider the problem of designing a low-complexity decoder for antipodal uniquely decodable (UD) /errorless code sets for overloaded synchronous code-division multiple access (CDMA) systems, where the number of signals Kamax is the largest known f
Externí odkaz:
http://arxiv.org/abs/1806.03958
Autor:
Huang, Song-Wen, Pados, Dimitris A.
We propose an orthogonal chirp waveform design for underwater acoustic (UW-A) communications and analyze the cross-correlation characteristics of orthogonal chirp waveforms in coherent and non-coherent detections. We consider information symbols are
Externí odkaz:
http://arxiv.org/abs/1803.02950
L1-norm Principal-Component Analysis (L1-PCA) of real-valued data has attracted significant research interest over the past decade. However, L1-PCA of complex-valued data remains to date unexplored despite the many possible applications (e.g., in com
Externí odkaz:
http://arxiv.org/abs/1708.01249
It was shown recently that the $K$ L1-norm principal components (L1-PCs) of a real-valued data matrix $\mathbf X \in \mathbb R^{D \times N}$ ($N$ data samples of $D$ dimensions) can be exactly calculated with cost $\mathcal{O}(2^{NK})$ or, when advan
Externí odkaz:
http://arxiv.org/abs/1610.01959
The radio frequency (RF) spectrum becomes overly crowded in some indoor environments due to the high density of users and bandwidth demands. To accommodate the tremendous wireless data demands, efficient spectrum-sharing approaches are highly desired
Externí odkaz:
http://arxiv.org/abs/1510.08929