[1] |
M. Soleymani, I. Santamaria, B. Maham and P.J. Schreier # Rate Region of the K-user MIMO Interference Channel with Imperfect TransmittersIn 2020 28th European Signal Processing Conference (EUSIPCO), pp. 1638-1642, 2021 |

[2] |
Y.H. Xiao, D. Ramírez and P.J. Schreier # A General Test for the Linear Structure of Covariance Matrices of Gaussian PopulationsIn 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5365-5369, 2020 |

[3] |
C. Lameiro, I. Santamaria and P.J. Schreier # Improper Gaussian Signaling for the Two-user Broadcast Channel Treating Interference as NoiseIn ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4829-4833, 2019 |

[4] |
T. Hasija, M. Gölz, M. Muma, P.J. Schreier and A.M. Zoubir # Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor NetworksIn Proc. Asilomar Conf. on Signals, Systems, Computers, 2019 |

[5] |
S. Horstmann, D. Ramírez and P.J. Schreier # Two-channel passive detection exploiting cyclostationarityIn Proc. 27th European Signal Proc. Conf. (EUSIPCO), 2019 |

[6] |
C. Lameiro, T. Hasija, T. Marrinan and P.J. Schreier # Estimating the Number of Correlated Components Based on Random ProjectionsIn ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5152-5156, 2019 |

[7] |
C. Lameiro, I. Santamaría and P.J. Schreier # Benefits of Improper Signaling for Overlay Cognitive RadioIn Proc. Globecom, 2019 |

[8] |
S. Horstmann, D. Ramírez, P.J. Schreier and A. Pries # Two-channel passive detection of cyclostationary signals in noise with spatio-temporal structureIn Proc. Asilomar Conf. Signals Syst. Computers, 2019 |

[9] |
M. Soleymani, C. Lameiro, I. Santamaria and P.J. Schreier # Energy-Efficient Improper Signaling for K-User Interference ChannelsIn Proc. IEEE European Signal Processing Conference (EUSIPCO), pp. 1409-1413, 2019 |

[10] |
M. Soleymani, C. Lameiro, P.J. Schreier and I. Santamaria # Energy-efficient Design for Underlay Cognitive Radio Using Improper SignalingIn IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4769-4773, 2019 |

[11] |
A. Eguizabal, P. J. Schreier and D. RamĂrez # MODEL-ORDER SELECTION IN STATISTICAL SHAPE MODELSIn 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, 2018 |

[12] |
T. Marrinan, T. Hasija, C. Lameiro and P. J. Schreier # Complete Model Selection in Multiset Canonical Correlation AnalysisIn Proc. European Signal Process. Conf. (EUSIPCO), pp. 1082-1086, 2018 |

[13] |
J. Tong, Q. Guo, J. Xi, Y. Yu and P. J. Schreier # Regularized lattice reduction-aided ordered successive interference cancellation for MIMO detectionIn Proc. IEEE Workshop on Statistical Signal Processing, 2018 |

[14] |
Mohammad Soleymani, C. Lameiro, P.J. Schreier and I. Santamaría # Improper Signaling for OFDM Underlay Cognitive Radio SystemsIn Proc. IEEE Statistical Signal Processing Workshop (SSP), pp. 722-726, 2018 |

[15] |
C. Lameiro, I. Santamaria and P.J. Schreier # Performance analysis of maximally improper signaling for multiple-antenna systemsIn Proc. IEEE Wireless Comm. Networking Conf. (WCNC), 2018 |

[16] |
A. Eguizabal and P.J. Schreier # A weighting strategy for Active Shape ModelsIn IEEE International Conference on Image Processing 2017, 2017 |

[17] |
S. Horstmann, D. Ramírez and P.J. Schreier # Detection of almost-cyclostationarity: An approach based on a multiple hypothesis testIn Proc. Asilomar Conf. Signals Syst. Computers, pp. 1635-1639, 2017 |

[18] |
C. Lameiro and P. J. Schreier # A sparse CCA algorithm with application to model-order selection for small sample supportIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., pp. 4721-4725, 2017 |

[19] |
T. Hasija, Y. Song, P.J. Schreier and D. Ramírez # Bootstrap-based detection of the number of signals correlated across multiple data setsIn Proc. Asilomar Conf. Signals Syst. Computers, 2016 |

[20] |
C. Lameiro, I. Santamaría, W. Utschick and P.J. Schreier # Maximally improper interference in underlay cognitive radio networksIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., 2016 |

[21] |
Y. Song, T. Hasija, P.J. Schreier and D. Ramírez # Determining the number of signals correlated across multiple data sets for small sample supportIn Proc. Eur. Signal Process. Conf., 2016 |

[22] |
T. Hasija, Y. Song, P.J. Schreier and D. Ramírez # Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regimeIn Proc. IEEE Work. Stat. Signal Process., 2016 |

[23] |
Aaron Pries, David Ramírez and Peter J. Schreier # Detection of cyclostationarity in the presence of temporal or spatial structure with applications to cognitive radioIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., pp. 4249-4253, 2016 |

[24] |
J. Tong, Q. Guo, J. Xi, Y. Yu and P.J. Schreier # Choosing the diagonal loading factor for linear signal estimation using cross validationIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., 2016 |

[25] |
M. Rezaee, P. J. Schreier, M. Guillaud and B. Clerckx # A simple DoF-achievable scheme for the Gaussian interference channel with delayed CSITIn Proc. IEEE Global Communications Convference: Communication Theory, 2015 |

[26] |
C. Lameiro, I. Santamaría and P.J. Schreier # Analysis of maximally improper signalling schemes for underlay cognitive radioIn Proc. IEEE Int. Conf. Comm., 2015 |

[27] |
D. Ramírez, P. J. Schreier, J. Vía, I. Santamaría and L. L. Scharf # An asymptotic LMPI test for cyclostationarity detection with application to Cognitive Radio (invited paper)In Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., 2015 |

[28] |
N. Roseveare and P. J. Schreier # Model-order selection for analyzing correlation between two data sets using CCA with PCA preprocessingIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., 2015 |

[29] |
Y. Song, P. J. Schreier and N. Roseveare # Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely smallIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., 2015 |

[30] |
D. Ramírez, P. J. Schreier, J. Vía, I. Santamaría and L. L. Scharf # A Regularized Maximum Likelihood Estimator for the Period of a Cyclostationary ProcessIn Proc. Asilomar Conf. Signals Syst. Computers, 2014 |

[32] |
J. Tong, Q. Guo, P.J. Schreier and J. Xi # Regularized successive interference cancellation (SIC) under mismatched modelingIn Proc. IEEE Work. Stat. Signal Process., 2014 |

[33] |
D. Ramírez, L. L. Scharf, J. Vía, I. Santamaría and P. J. Schreier # An asymptotic GLRT for the detection of cyclostationary signalsIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., 2014 |

[34] |
J. Tong and P.J. Schreier # Linear equalization in communications with mismatched modeling using Krylov subspace expansionIn Proc. IEEE Wireless Comm. Networking Conf. (WCNC), 2013 |

[35] |
D. Ramírez, P. J. Schreier, J. Vía and V. V. Nikulin # Power-CCA: Maximizing the Correlation Coefficient between the Power of ProjectionsIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., 2013 |

[36] |
D. Ramírez, P. J. Schreier, J. Vía and I. Santamaría # GLRT For Testing Separability Of A Complex-Valued Mixture Based On The Strong Uncorrelating TransformIn Proc. IEEE Int. Work. Machine Learning for Signal Process., 2012 |

[37] |
S. C. Olhede, D. Ramírez and P. J. Schreier # The Random Monogenic SignalIn Proc. IEEE Int. Conf. Image Process., 2012 |

[38] |
J. Tong and P.J. Schreier # Regularized linear equalization for multipath channels with imperfect channel estimationIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., pp. 3009-3012, 2012 |

[39] |
J. Tong, P.J. Schreier and S.R. Weller # Precoder design and convergence analysis of MIMO systems with Krylov subspace receiversIn Proc. IEEE Int. Symp. Inform. Theory, pp. 2914-2918, 2011 |

[40] |
J. Tong, P.J. Schreier, S.R. Weller and L.L. Scharf # Linear precoding for time-varying MIMO channels with low-complexity receiversIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., pp. 3092-3095, 2011 |

[41] |
P. Wahlberg and P.J. Schreier # The Wiener filter for locally stationary stochastic processes is rarely locally stationaryIn Proc. 17th European Signal Process. Conf., pp. 2465-2469, 2009 |

[42] |
P.J. Schreier, T. Adali and L.L. Scharf # On ICA of improper and noncircular sourcesIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., pp. 3561-3564, 2009 |

[43] |
P. Wahlberg and P.J. Schreier # A time-frequency formula for LMMSE filters for nonstationary underspread continuous-time stochastic processesIn Proc. 16th European Signal Process. Conf., 2008 |

[44] |
P.J. Schreier # The degree of impropriety (noncircularity) of complex random vectorsIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., pp. 3909-3912, 2008 |

[45] |
V.D. Trajkovic, M. Fu and P.J. Schreier # Near-capacity turbo equalization using optimized turbo codesIn Proc. Australasian Telecomm. Netw. Applic. Conf., pp. 480-484, 2007 |

[46] |
P.J. Schreier # Correlation Coefficients for Complex Random VectorsIn Proc. 41st Asilomar Conf. Signals Syst. Computers, pp. 577-581, 2007 |

[47] |
P. Wahlberg and P.J. Schreier # Frequency-domain properties of locally stationary improper second-order stochastic processesIn Proc. 41st Asilomar Conf. Signals Syst. Computers, pp. 1093-1097, 2007 |

[48] |
V.D. Trajkovic, M. Fu and P.J. Schreier # Turbo Equalization With Irregular Turbo CodesIn Proc. 4th Int. Symp. Wireless Comm. Syst., pp. 153-157, 2007 |

[49] |
P. Wahlberg and P.J. Schreier # Spectra of multidimensional complex improper (almost) cyclostationary processesIn Proc. IEEE Int. Symp. Inform. Theory, pp. 971-975, 2007 |

[50] |
P.J. Schreier # A New Interpretation of Bilinear Time-Frequency DistributionsIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., vol. 3, pp. 1133-1136, 2007 |

[51] |
M.S. Spurbeck, P.J. Schreier and L.L. Scharf # Causal cyclic Wiener filteringIn Proc. 40th Asilomar Conf. Signals Syst. Computers, pp. 1425-1429, 2006 |

[52] |
P.J. Schreier, L.L. Scharf and A. Hanssen # A Statistical Test for Impropriety of Complex Random SignalsIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., vol. 3, pp. 796-799, 2006 |

[53] |
P.J. Schreier, L.L. Scharf and A. Hanssen # A geometric interpretation of the Rihaczek time-frequency distribution for stochastic signalsIn Proc. IEEE Int. Symp. Inform. Theory, pp. 966-969, 2005 |

[54] |
P.J. Schreier # A note on aliasing in higher order spectraIn Proc. 6th Australian Comm. Theory Works., pp. 184-188, 2005 |

[55] |
P.J. Schreier and L.L. Scharf # Polyspectra of analytic signalsIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., vol. 2, pp. 473-476, 2004 |

[56] |
T. McWhorter and P.J. Schreier # Widely-linear beamformingIn Proc. 37th Asilomar Conf. Signals Syst. Computers, vol. 1, pp. 753-759, 2003 |

[57] |
P.J. Schreier, L.L. Scharf, T. Hu and S.D. Voran # Canonical coordinates are the right coordinate system for transform coding of noisy sourcesIn Proc. IEEE Works. Statistical Signal Proces., pp. 234-237, 2003 |

[58] |
P.J. Schreier, L.L. Scharf and C.T. Mullis # A unified approach to performance comparisons between linear and widely linear processingIn Proc. IEEE Works. Statistical Signal Proces., pp. 114-117, 2003 |

[59] |
P.J. Schreier and L.L. Scharf # The Karhunen-Loève expansion of improper complex random signals with applications in detectionIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., vol. 6, pp. 717-720, 2003 |

[60] |
P.J. Schreier and L.L. Scharf # Reducing interference in stochastic time-frequency analysis without losing informationIn Proc. 36th Asilomar Conf. Signals Syst. Computers, vol. 2, pp. 1565-1570, 2002 |

[61] |
P.J. Schreier and L.L. Scharf # Canonical coordinates for reduced-rank estimation of improper complex random vectorsIn Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., vol. 2, pp. 1153-1156, 2002 |

[62] |
P.J. Schreier and L.L. Scharf # Low-rank approximation of improper complex random vectorsIn Proc. 35th Asilomar Conf. Signals Syst. Computers, vol. 1, pp. 597-601, 2001 |

[63] |
P.J. Schreier and J. Costello # MAP decoding of linear block codes based on a sectionalized trellis of the dual codeIn Proc. Int. Zurich Seminar Broadband Comm., pp. 271-278, 2000 |