[1] |
M. Soleymani, I. Santamaria and P.J. Schreier # Improper signaling for multicell MIMO RIS-assisted broadcast channels with I/Q imbalanceIEEE Transactions on Green Communications and Networking, vol. 6, no. 2, pp. 723-738, IEEE, 2022 |

[2] |
S. Vieluf, T. Hasija, P.J. Schreier, R. El Atrache, S. Hammond, F.M. Touserkani, R.A. Sarkis, T. Loddenkemper and C. Reinsberger # Generalized tonic-clonic seizures are accompanied by changes of interrelations within the autonomic nervous systemEpilepsy & Behavior, vol. 124, pp. 108321, Elsevier, 2021 |

[3] |
M. Soleymani, I. Santamaria and P.J. Schreier # Distributed Algorithms for Spectral and Energy-Efficiency Maximization of K-User Interference ChannelsIEEE Access, vol. 9, pp. 96948-96963, IEEE, 2021 |

[4] |
M. Soleymani, I. Santamaria and P.J. Schreier # Improper Gaussian Signaling for the K-User MIMO Interference Channels With Hardware ImpairmentsIEEE Transactions on Vehicular Technology, vol. 69, no. 10, pp. 11632-11645, IEEE, 2020 |

[5] |
T. Hasija, T. Marrinan, C. Lameiro and P.J. Schreier # Determining the dimension and structure of the subspace correlated across multiple data setsSignal Processing, vol. 176, Elsevier, 2020 |

[6] |
S. Horstmann, D. Ramírez and P.J. Schreier # Two-channel passive detection of cyclostationary signalsIEEE Transactions on Signal Processing, vol. 68, no. 1, pp. 2340-2355, IEEE, 2020 |

[7] |
C. Lameiro, I. Santamaría, P.J. Schreier and W. Utschick # Maximally Improper Signaling in Underlay MIMO Cognitive Radio NetworksIEEE Transactions on Signal Processing, vol. 67, no. 24, pp. 6241-6255, IEEE, 2019 |

[8] |
M. Soleymani, C. Lameiro, I. Santamaria and P.J. Schreier # Improper Signaling for SISO Two-user Interference Channels with Additive Asymmetric Hardware DistortionIEEE Trans. Commun., IEEE, 2019 |

[9] |
M. Soleymani, C. Lameiro, I. Santamaria and P.J. Schreier # Robust Improper Signaling for Two-user SISO Interference ChannelsIEEE Trans. Commun., vol. 67, no. 7, pp. 4709-4723, IEEE, 2019 |

[10] |
M. Soleymani, I. Santamaria, C. Lameiro and P.J. Schreier # Ergodic Rate for Fading Interference Channels with Proper and Improper Gaussian SignalingEntropy, vol. 21, no. 10, pp. 922, Multidisciplinary Digital Publishing Institute, 2019 |

[11] |
S. Vieluf, T. Hasija, R. Jakobsmeyer, P.J. Schreier and C. Reinsberger # Exercise-induced changes of multimodal interactions within the autonomic nervous networkFrontiers in physiology, vol. 10, Frontiers, 2019 |

[12] |
S. Vieluf, V. Scheer, T. Hasija, P.J. Schreier and C. Reinsberger # Multimodal approach towards understanding the changes in the autonomic nervous system induced by an ultramarathonResearch in Sports Medicine, pp. 1-10, Taylor & Francis, 2019 |

[13] |
A. Eguizabal, C. Lameiro, D. Ramirez and P. J. Schreier # Source enumeration in the presence of colored noiseIEEE Signal Proc. Lett., vol. 26, no. 3, pp. 475-479, 2019 |

[14] |
C. Lameiro, I. Santamaría and P.J. Schreier # Improper Gaussian signaling for multiple-access channels in underlay cognitive radioIEEE Transactions on Communications, vol. 67, no. 3, pp. 1817-1830, IEEE, 2018, (Available at https://arxiv.org/abs/1711.09768). |

[15] |
I. Santamaria, P.M. Crespo, C. Lameiro and P.J. Schreier # Information-Theoretic Analysis of a Family of Improper Discrete ConstellationsEntropy, vol. 20, no. 1, 2018 |

[16] |
S. Horstmann, D. Ramírez and P.J. Schreier # Joint Detection of Almost-Cyclostationary Signals and Estimation of Their Cycle PeriodIEEE Signal Process. Lett., vol. 25, no. 11, pp. 1695-1699, 2018 |

[17] |
Aaron Pries, David Ramírez and Peter J. Schreier # LMPIT-inspired Tests for Detecting a Cyclostationary Signal in Noise with Spatio-Temporal StructureIEEE Trans. Wirel. Commun., vol. 17, no. 9, pp. 6321-6334, 2018, (Available at https://arxiv.org/abs/1803.08791). |

[18] |
M. Rezaee and P.J. Schreier # A degrees-of-freedom-achieving scheme for the temporally correlated MIMO interference channel with delayed CSITIEEE Trans. Wireless Comm., vol. 17, no. 8, pp. 5397-5408, 2018 |

[19] |
T. Hasija, C. Lameiro and P.J. Schreier # Determining the dimension of the improper signal subspace in complex-valued dataIEEE Signal Process. Lett., vol. 24, pp. 1606-1610, 2017 |

[20] |
C. Lameiro, I. Santamaría and P.J. Schreier # Rate region boundary of the SISO Z-interference channel with improper signalingIEEE Trans. Comm., vol. 65, no. 3, pp. 1022-1034, 2017 |

[21] |
Y. Song, P.J. Schreier, D. Ramírez and T. Hasija # Canonical correlation analysis of high-dimensional data with very small sample supportSignal Process., vol. 128, pp. 449-458, 2016 |

[22] |
Y. Levin-Schwartz, Y. Song, P.J. Schreier, V. Calhoun and T. Adali # Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging dataNeuroImage, vol. 134, pp. 486-493, 2016 |

[23] |
J. Tong, P.J. Schreier, Q. Guo, S. Tong, J. Xi and Y. Yu # Shrinkage of covariance matrices for linear signal estimation using cross-validationIEEE Trans. Signal Process., vol. 64, no. 11, pp. 2965-2975, 2016 |

[24] |
M. Rezaee, P.J. Schreier, M. Guillaud and B. Clerckx # A unified scheme to achieve the degrees-of-freedom region of the MIMO interference channel with delayed channel state informationIEEE Trans. Comm., vol. 64, no. 3, pp. 1068-1082, 2016 |

[25] |
D. Ramírez, P. J. Schreier, J. Via, I. Santamaria and L. L. Scharf # Detection of multivariate cyclostationarityIEEE Trans. Signal Processing, vol. 63, no. 20, pp. 5395-5408, 2015 |

[26] |
C. Lameiro, I. Santamaría and P.J. Schreier # Benefits of Improper Signaling for Underlay Cognitive RadioIEEE Wireless Comm. Lett., vol. 4, pp. 22-25, 2015 |

[27] |
S. Dähne, V. V. Nikulin, D. Ramírez, P. J. Schreier, K.-R. Müller and S. Haufe # Finding brain oscillations with power dependencies in neuroimaging dataNeuroImage, vol. 96, pp. 334-348, 2014 |

[28] |
S. C. Olhede, D. Ramírez and P. J. Schreier # Detecting Directionality in Random Fields Using the Monogenic SignalIEEE Trans. Inform. Theory, vol. 60, no. 10, pp. 6491-6510, 2014 |

[29] |
T. Adali and P.J. Schreier # Optimization and estimation of complex-valued signalsIEEE Signal Processing Magazine, vol. 31, no. 5, pp. 112-128, 2014 |

[30] |
D. Ramírez, P. J. Schreier, J. Vía and I. Santamaría # Testing blind separability of complex Gaussian mixturesSignal Process., vol. 95, pp. 49-57, 2014 |

[31] |
P.J. Schreier # Neue Anwendungsgebiete für Computer Assisted Surgery (CAS)ForschungsForum Paderborn, vol. 17, pp. 24-30, 2014 |

[32] |
J. Tong and P.J. Schreier # A unified framework for regularized linear estimation in communication systemsSignal Process., vol. 93, no. 9, pp. 2671-2686, 2013 |

[33] |
J. Tong and P.J. Schreier # Regularized Preconditioning for Krylov Subspace Equalization of OFDM Systems over Doubly Selective ChannelsIEEE Wireless Comm. Lett., vol. 2, no. 4, pp. 367-370, 2013 |

[34] |
P. Wahlberg and P.J. Schreier # On the instantaneous frequency of Gaussian stochastic processesProbab. Math. Statist., vol. 32, pp. 69-92, 2012 |

[35] |
J. Tong, P.J. Schreier and S.R. Weller # Linear precoding for MIMO systems with low-complexity receiversIEEE Trans. Wireless Comm., vol. 11, no. 8, pp. 2828-2837, 2012 |

[36] |
J. Tong, P.J. Schreier and S.R. Weller # Design and analysis of large MIMO systems with Krylov subspace receiversIEEE Trans. Signal Process., vol. 60, no. 5, pp. 2482-2493, 2012 |

[37] |
P. Wahlberg and P.J. Schreier # Locally stationary harmonizable complex improper stochastic processesJ. Time Ser. Anal., vol. 32, no. 1, pp. 33-46, Blackwell Publishing Ltd, 2011 |

[38] |
T. Adali, P.J. Schreier and L.L. Scharf # Complex-Valued Signal Processing: The Proper Way to Deal With ImproprietyIEEE Trans. Signal Process., vol. 59, no. 11, pp. 5101-5125, 2011 |

[39] |
P. Wahlberg and P.J. Schreier # On Wiener filtering of certain locally stationary stochastic processesSignal Process., vol. 90, no. 3, pp. 885-890, 2010 |

[40] |
P. Wahlberg and P.J. Schreier # Gabor discretization of the Weyl product for modulation spaces and filtering of nonstationary stochastic processesAppl. Comput. Harmon. Anal., vol. 26, no. 1, pp. 97-120, 2009 |

[41] |
P.J. Schreier # Bounds on the Degree of Impropriety of Complex Random VectorsIEEE Signal Process. Lett., vol. 15, pp. 190-193, 2008 |

[42] |
P.J. Schreier # Polarization Ellipse Analysis of Nonstationary Random SignalsIEEE Trans. Signal Process., vol. 56, no. 9, pp. 4330-4339, 2008 |

[43] |
P.J. Schreier # A Unifying Discussion of Correlation Analysis for Complex Random VectorsIEEE Trans. Signal Process., vol. 56, no. 4, pp. 1327-1336, 2008 |

[44] |
P. Wahlberg and P.J. Schreier # Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary ProcessesIEEE Trans. Inform. Theory, vol. 54, no. 4, pp. 1670-1682, 2008 |

[45] |
M.S. Spurbeck and P.J. Schreier # Causal Wiener filter banks for periodically correlated time seriesSignal Process., vol. 87, no. 6, pp. 1179-1187, Elsevier North-Holland, Inc., 2007 |

[46] |
P.J. Schreier and L.L. Scharf # Higher-order spectral analysis of complex signalsSignal Process., vol. 86, no. 11, pp. 3321-3333, 2006 |

[47] |
P.J. Schreier, L.L. Scharf and A. Hanssen # A generalized likelihood ratio test for impropriety of complex signalsIEEE Signal Process. Lett., vol. 13, no. 7, pp. 433-436, 2006 |

[48] |
P.J. Schreier and L.L. Scharf # Canonical coordinates for transform coding of noisy sourcesIEEE Trans. Signal Process., vol. 54, no. 1, pp. 235-243, 2006 |

[49] |
L.L. Scharf, P.J. Schreier and A. Hanssen # The Hilbert space geometry of the Rihaczek distribution for stochastic analytic signalsIEEE Signal Process. Lett., vol. 12, no. 4, pp. 297-300, 2005 |

[50] |
P.J. Schreier, L.L. Scharf and C.T. Mullis # Detection and estimation of improper complex random signalsIEEE Trans. Inform. Theory, vol. 51, no. 1, pp. 306-312, 2005 |

[51] |
P.J. Schreier and L.L. Scharf # Stochastic time-frequency analysis using the analytic signal: why the complementary distribution mattersIEEE Trans. Signal Process., vol. 51, no. 12, pp. 3071-3079, 2003 |

[52] |
P.J. Schreier and L.L. Scharf # Second-order analysis of improper complex random vectors and processesIEEE Trans. Signal Process., vol. 51, no. 3, pp. 714-725, 2003 |