Statistical signal processing of complex-valued data: the theory of improper and noncircular signals PJ Schreier, LL Scharf Cambridge University Press, 2010 | 988 | 2010 |
Complex-valued signal processing: The proper way to deal with impropriety T Adali, PJ Schreier, LL Scharf IEEE Transactions on Signal Processing 59 (11), 5101-5125, 2011 | 439 | 2011 |
Second-order analysis of improper complex random vectors and processes PJ Schreier, LL Scharf IEEE Transactions on Signal Processing 51 (3), 714-725, 2003 | 424 | 2003 |
Detection and estimation of improper complex random signals PJ Schreier, LL Scharf, CT Mullis IEEE Transactions on Information Theory 51 (1), 306-312, 2005 | 142 | 2005 |
A generalized likelihood ratio test for impropriety of complex signals PJ Schreier, LL Scharf, A Hanssen IEEE Signal Processing Letters 13 (7), 433-436, 2006 | 117 | 2006 |
Optimization and estimation of complex-valued signals: Theory and applications in filtering and blind source separation T Adali, PJ Schreier IEEE Signal Processing Magazine 31 (5), 112-128, 2014 | 98 | 2014 |
Canonical correlation analysis of high-dimensional data with very small sample support Y Song, PJ Schreier, D Ramírez, T Hasija Signal Processing 128, 449-458, 2016 | 78 | 2016 |
Benefits of improper signaling for underlay cognitive radio C Lameiro, I Santamaría, PJ Schreier IEEE Wireless Communications Letters 4 (1), 22-25, 2014 | 70 | 2014 |
Stochastic time-frequency analysis using the analytic signal: Why the complementary distribution matters PJ Schreier, LL Scharf IEEE Transactions on Signal Processing 51 (12), 3071-3079, 2003 | 68 | 2003 |
A unifying discussion of correlation analysis for complex random vectors PJ Schreier IEEE Transactions on Signal Processing 56 (4), 1327-1336, 2008 | 62 | 2008 |
Rate Region Boundary of the SISO Z-Interference Channel With Improper Signaling C Lameiro, I Santamaría, PJ Schreier IEEE Transactions on Communications 65 (3), 1022-1034, 2017 | 59 | 2017 |
Finding brain oscillations with power dependencies in neuroimaging data S Dähne, VV Nikulin, D Ramírez, PJ Schreier, KR Müller, S Haufe NeuroImage 96, 334-348, 2014 | 58 | 2014 |
Bounds on the degree of impropriety of complex random vectors PJ Schreier IEEE Signal Processing Letters 15, 190-193, 2008 | 43 | 2008 |
Detection of Multivariate Cyclostationarity D Ramírez, PJ Schreier, J Vía, I Santamaría, LL Scharf IEEE Transactions on Signal Processing 63 (20), 5395-5408, 2015 | 42 | 2015 |
Higher-order spectral analysis of complex signals PJ Schreier, LL Scharf Signal processing 86 (11), 3321-3333, 2006 | 37 | 2006 |
Polarization ellipse analysis of nonstationary random signals PJ Schreier IEEE Transactions on Signal Processing 56 (9), 4330-4339, 2008 | 34 | 2008 |
Widely-linear beamforming T McWhorter, P Schreier The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003 …, 2003 | 32 | 2003 |
Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data Y Levin-Schwartz, Y Song, PJ Schreier, VD Calhoun, T Adalı NeuroImage 134, 486-493, 2016 | 29 | 2016 |
One-bit target detection in collocated MIMO radar and performance degradation analysis YH Xiao, D Ramírez, PJ Schreier, C Qian, L Huang IEEE Transactions on Vehicular Technology 71 (9), 9363-9374, 2022 | 28 | 2022 |
Spectral relations for multidimensional complex improper stationary and (almost) cyclostationary processes P Wahlberg, PJ Schreier IEEE Transactions on Information Theory 54 (4), 1670-1682, 2008 | 24 | 2008 |