Technical Program

SPTM-P10: Spectrum Estimation Theory, Methods, and Applications

Session Type: Poster
Time: Thursday, May 30, 10:30 - 12:30
Location: Poster Area I
Session Chair: Paulo Diniz, COPPE/Poli/UFRJ
 
SPTM-P10.1: SPECTRAL ESTIMATION OF PHASE NOISE BASED ON COMPLEMENTARY AUTOCORRELATION
         Koji Harada; Agilent Technologies
 
SPTM-P10.2: TIME-UPDATING IAA-BASED SPECTRAL ESTIMATES WITH MISSING SAMPLES USING DATA INTERPOLATION
         George-Othon Glentis; University of Peloponnese
         Andreas Jakobsson; Lund University
         Kostas Angelopoulos; University of Peloponnese
 
SPTM-P10.3: SUBSPACE-BASED ESTIMATION OF SYMBOLIC PERIODICITIES
         Johan Swärd; Lund University
         Andreas Jakobsson; Lund University
 
SPTM-P10.4: FAST MISSING-DATA IAA BY LOW RANK COMPLETION
         Johan Karlsson; University of Florida
         William Rowe; University of Florida
         Xu Luzhou; University of Florida
         George-Othon Glentis; University of Peloponnese
         Jian Li; University of Florida
 
SPTM-P10.5: ESTIMATING MULTIPLE PITCHES USING BLOCK SPARSITY
         Stefan Ingi Adalbjörnsson; Lund University
         Andreas Jakobsson; Lund University
         Mads Græsbøll Christensen; Aalborg University
 
SPTM-P10.6: SPECTRAL COMPRESSIVE SENSING WITH POLAR INTERPOLATION
         Karsten Fyhn; Aalborg University
         Hamid Dadkhahi; University of Massachusetts
         Marco Duarte; University of Massachusetts
 
SPTM-P10.7: SPECTRAL ESTIMATION WITH THE HIRSCHMAN OPTIMAL TRANSFORM FILTER BANK AND COMPRESSIVE SENSING
         Guifeng Liu; Florida State University
         Victor DeBrunner; Florida State University
 
SPTM-P10.8: POWER-CCA: MAXIMIZING THE CORRELATION COEFFICIENT BETWEEN THE POWER OF PROJECTIONS
         David Ramírez; University of Paderborn
         Peter J. Schreier; University of Paderborn
         Javier Vía; University of Cantabria
         Vadim V. Nikulin; University Medicine Berlin
 
SPTM-P10.9: AN ONLINE APPROACH FOR INTRACRANIAL PRESSURE FORECASTING BASED ON SIGNAL DECOMPOSITION AND ROBUST STATISTICS
         Bin Han; Karlsruhe Institut für Technologie
         Michael Muma; Technische Universität Darmstadt
         Mengling Feng; Massachusetts Institute of Technology
         Abdelhak M. Zoubir; Technische Universität Darmstadt
 
SPTM-P10.10: PARAMETER ESTIMATION AND WAVEFORM DESIGN FOR COGNITIVE RADAR BY MINIMAL FREE-ENERGY PRINCIPLE
         Anish Turlapaty; University of Maryland, Eastern Shore
         Yuanwei Jin; University of Maryland, Eastern Shore
 
SPTM-P10.11: ESTIMATING THE AUTOCORRELATION FUNCTION OF AN ARBITRARILY TIME-VARIANT SYSTEM RESPONSE
         Lang Peng; Northeastern University
         Hanoch Lev-Ari; Northeastern University
 
SPTM-P10.12: ENHANCING THE READABILITY OF THE WIGNER DISTRIBUTION BY EXPLOITING ITS CROSS-TERMS GEOMETRY
         Tsz Kin Hon; King's College London
         Alberto de la Fuente González; King's College London
         Apostolos Georgakis; King's College London
 
SPTM-P10.13: NON-PARAMETRIC DATA-DEPENDENT ESTIMATION OF SPECTROSCOPIC ECHO-TRAIN SIGNALS
         Ted Kronvall; Lund University
         Johan Swärd; Lund University
         Andreas Jakobsson; Lund University
 
SPTM-P10.14: HYPERSPECTRAL PERFORMANCE PREDICTION OF THE ADAPTIVE COSINE ESTIMATOR
         Eric Truslow; Northeastern University
         Dimitris Manolakis; Massachusetts Institute of Technology, Lincoln Laboratory
         Michael Pieper; Massachusetts Institute of Technology, Lincoln Laboratory
         Thomas Cooley; Air Force Research Laboratory
         Michael Brueggeman; Air Force Research Laboratory