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2020 – today
- 2024
[c55]Stefanie Horstmann, David Ramírez, Peter J. Schreier:
Multistatic Passive Detection of Cyclostationary Signals. ICASSP 2024: 9306-9310- 2022
- [j47]Mohammad Soleymani
, Ignacio Santamaría, Peter J. Schreier:
Improper Signaling for Multicell MIMO RIS-Assisted Broadcast Channels With I/Q Imbalance. IEEE Trans. Green Commun. Netw. 6(2): 723-738 (2022) - [j46]Yu-Hang Xiao, David Ramírez, Peter J. Schreier, Cheng Qian, Lei Huang:
One-Bit Target Detection in Collocated MIMO Radar and Performance Degradation Analysis. IEEE Trans. Veh. Technol. 71(9): 9363-9374 (2022) - [c54]Isabell Lehmann, Evrim Acar, Tanuj Hasija, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Peter J. Schreier, Tülay Adali:
Multi-Task fMRI Data Fusion Using IVA and PARAFAC2. ICASSP 2022: 1466-1470 - 2021
- [j45]Mohammad Soleymani, Ignacio Santamaría, Peter J. Schreier:
Distributed Algorithms for Spectral and Energy-Efficiency Maximization of K-User Interference Channels. IEEE Access 9: 96948-96963 (2021) - 2020
- [j44]Tanuj Hasija, Timothy Marrinan, Christian Lameiro, Peter J. Schreier:
Determining the dimension and structure of the subspace correlated across multiple data sets. Signal Process. 176: 107613 (2020) - [j43]Stefanie Horstmann, David Ramírez, Peter J. Schreier:
Two-Channel Passive Detection of Cyclostationary Signals. IEEE Trans. Signal Process. 68: 2340-2355 (2020) - [j42]Mohammad Soleymani, Ignacio Santamaría, Peter J. Schreier:
Improper Gaussian Signaling for the $K$-User MIMO Interference Channels With Hardware Impairments. IEEE Trans. Veh. Technol. 69(10): 11632-11645 (2020) - [c53]Mohammad Soleymani, Ignacio Santamaría, Behrouz Maham, Peter J. Schreier:
Rate Region of the K-user MIMO Interference Channel with Imperfect Transmitters. EUSIPCO 2020: 1638-1642 - [c52]Yu-Hang Xiao, David Ramírez, Peter J. Schreier:
A General Test for the Linear Structure of Covariance Matrices of Gaussian Populations. ICASSP 2020: 5365-5369 - [i13]Mohammad Soleymani, Peter J. Schreier, Ignacio Santamaría:
Performance Analysis of MIMO K-user Interference Channels with Hardware Impairments. CoRR abs/2001.10403 (2020)
2010 – 2019
- 2019
- [j41]Mohammad Soleymani, Ignacio Santamaría, Christian Lameiro, Peter J. Schreier:
Ergodic Rate for Fading Interference Channels with Proper and Improper Gaussian Signaling. Entropy 21(10): 922 (2019) - [j40]Alma Eguizabal, Christian Lameiro, David Ramírez, Peter J. Schreier:
Source Enumeration in the Presence of Colored Noise. IEEE Signal Process. Lett. 26(3): 475-479 (2019) - [j39]Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Improper Gaussian Signaling for Multiple-Access Channels in Underlay Cognitive Radio. IEEE Trans. Commun. 67(3): 1817-1830 (2019) - [j38]Mohammad Soleymani, Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Robust Improper Signaling for Two-User SISO Interference Channels. IEEE Trans. Commun. 67(7): 4709-4723 (2019) - [j37]Mohammad Soleymani, Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Improper Signaling for SISO Two-User Interference Channels With Additive Asymmetric Hardware Distortion. IEEE Trans. Commun. 67(12): 8624-8638 (2019) - [j36]Christian Lameiro, Ignacio Santamaría, Peter J. Schreier, Wolfgang Utschick:
Maximally Improper Signaling in Underlay MIMO Cognitive Radio Networks. IEEE Trans. Signal Process. 67(24): 6241-6255 (2019) - [c51]Tanuj Hasija, Martin Gölz, Michael Muma, Peter J. Schreier, Abdelhak M. Zoubir:
Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks. ACSSC 2019: 1257-1261 - [c50]Stefanie Horstmann, David Ramírez, Peter J. Schreier, Aaron Pries:
Two-channel passive detection of cyclostationary signals in noise with spatio-temporal structure. ACSSC 2019: 1333-1337 - [c49]Mohammad Soleymani, Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Energy-Efficient Improper Signaling for K-User Interference Channels. EUSIPCO 2019: 1-5 - [c48]Stefanie Horstmann, David Ramírez, Peter J. Schreier:
Two-Channel Passive Detection Exploiting Cyclostationarity. EUSIPCO 2019: 1-5 - [c47]Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Benefits of Improper Signaling for Overlay Cognitive Radio. GLOBECOM 2019: 1-6 - [c46]Mohammad Soleymani, Christian Lameiro, Peter J. Schreier, Ignacio Santamaría:
Energy-efficient Design for Underlay Cognitive Radio Using Improper Signaling. ICASSP 2019: 4769-4773 - [c45]Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Improper Gaussian Signaling for the Two-user Broadcast Channel Treating Interference as Noise. ICASSP 2019: 4829-4833 - [c44]Christian Lameiro, Tanuj Hasija, Tim Marrinan, Peter J. Schreier:
Estimating the Number of Correlated Components Based on Random Projections. ICASSP 2019: 5152-5156 - [i12]Tanuj Hasija, Christian Lameiro, Timothy Marrinan, Peter J. Schreier:
Determining the Dimension and Structure of the Subspace Correlated Across Multiple Data Sets. CoRR abs/1901.11366 (2019) - [i11]Alma Eguizabal, Peter J. Schreier, Jürgen Schmidt:
Procrustes registration of two-dimensional statistical shape models without correspondences. CoRR abs/1911.11431 (2019) - 2018
- [j35]Ignacio Santamaría, Pedro M. Crespo, Christian Lameiro, Peter J. Schreier:
Information-Theoretic Analysis of a Family of Improper Discrete Constellations. Entropy 20(1): 45 (2018) - [j34]Stefanie Horstmann, David Ramírez, Peter J. Schreier:
Joint Detection of Almost-Cyclostationary Signals and Estimation of Their Cycle Period. IEEE Signal Process. Lett. 25(11): 1695-1699 (2018) - [j33]Mohsen Rezaee, Peter J. Schreier:
A Degrees-of-Freedom-Achieving Scheme for the Temporally Correlated MIMO Interference Channel With Delayed CSIT. IEEE Trans. Wirel. Commun. 17(8): 5397-5408 (2018) - [j32]Aaron Pries, David Ramírez, Peter J. Schreier:
LMPIT-Inspired Tests for Detecting a Cyclostationary Signal in Noise With Spatio-Temporal Structure. IEEE Trans. Wirel. Commun. 17(9): 6321-6334 (2018) - [c43]Tim Marrinan, Tanuj Hasija, Christian Lameiro, Peter J. Schreier:
Complete Model Selection in Multiset Canonical Correlation Analysis. EUSIPCO 2018: 1082-1086 - [c42]Alma Eguizabal, Peter J. Schreier, David Ramírez:
Model-order Selection in Statistical Shape Models. MLSP 2018: 1-6 - [c41]Jun Tong, Qinghua Guo, Jiangtao Xi, Yanguang Yu, Peter J. Schreier:
Regularized Lattice Reduction-Aided Ordered Successive Interference Cancellation for MIMO Detection. SSP 2018: 717-721 - [c40]Mohammad Soleymani, Christian Lameiro, Peter J. Schreier, Ignacio Santamaría:
Improper Signaling for OFDM Underlay Cognitive Radio Systems. SSP 2018: 722-726 - [c39]Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Performance analysis of maximally improper signaling for multiple-antenna systems. WCNC 2018: 1-6 - [i10]Alma Eguizabal, Peter J. Schreier, David Ramírez:
Model-order selection in statistical shape models. CoRR abs/1808.00309 (2018) - [i9]Aaron Pries, Peter J. Schreier, Artur Lamm, Stefan Pede, Jürgen Schmidt:
Deep Morphing: Detecting bone structures in fluoroscopic X-ray images with prior knowledge. CoRR abs/1808.04441 (2018) - 2017
- [j31]Tanuj Hasija, Christian Lameiro, Peter J. Schreier:
Determining the Dimension of the Improper Signal Subspace in Complex-Valued Data. IEEE Signal Process. Lett. 24(11): 1606-1610 (2017) - [j30]Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Rate Region Boundary of the SISO Z-Interference Channel With Improper Signaling. IEEE Trans. Commun. 65(3): 1022-1034 (2017) - [c38]Stefanie Horstmann, David Ramírez, Peter J. Schreier:
Detection of almost-cyclostationarity: An approach based on a multiple hypothesis test. ACSSC 2017: 1635-1639 - [c37]Christian Lameiro, Peter J. Schreier:
A sparse CCA algorithm with application to model-order selection for small sample support. ICASSP 2017: 4721-4725 - [c36]Alma Eguizabal, Peter J. Schreier:
A weighting strategy for Active Shape Models. ICIP 2017: 3610-3614 - [i8]Tanuj Hasija, Christian Lameiro, Peter J. Schreier:
Determining the Dimension of the Improper Signal Subspace in Complex-Valued Data. CoRR abs/1707.01451 (2017) - [i7]Alma Eguizabal, Peter J. Schreier:
A weighting strategy for Active Shape Models. CoRR abs/1707.09233 (2017) - [i6]Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Improper Gaussian signaling for multiple-access channels in underlay cognitive radio. CoRR abs/1711.09768 (2017) - 2016
- [j29]Yuri Levin-Schwartz, Yang Song, Peter J. Schreier, Vince D. Calhoun, Tülay Adali:
Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data. NeuroImage 134: 486-493 (2016) - [j28]Yang Song, Peter J. Schreier, David Ramírez, Tanuj Hasija:
Canonical correlation analysis of high-dimensional data with very small sample support. Signal Process. 128: 449-458 (2016) - [j27]Mohsen Rezaee, Peter J. Schreier, Maxime Guillaud, Bruno Clerckx:
A Unified Scheme to Achieve the Degrees-of-Freedom Region of the MIMO Interference Channel With Delayed Channel State Information. IEEE Trans. Commun. 64(3): 1068-1082 (2016) - [j26]Jun Tong, Peter J. Schreier, Qinghua Guo, Sheng Tong, Jiangtao Xi, Yanguang Yu:
Shrinkage of Covariance Matrices for Linear Signal Estimation Using Cross-Validation. IEEE Trans. Signal Process. 64(11): 2965-2975 (2016) - [c35]Christian Lameiro, Peter J. Schreier:
Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small. ACSSC 2016: 601-605 - [c34]Tanuj Hasija, Yang Song, Peter J. Schreier, David Ramírez:
Bootstrap-based detection of the number of signals correlated across multiple data sets. ACSSC 2016: 610-614 - [c33]Yang Song, Tanuj Hasija, Peter J. Schreier, David Ramírez:
Determining the number of signals correlated across multiple data sets for small sample support. EUSIPCO 2016: 1528-1532 - [c32]Christian Lameiro, Ignacio Santamaría, Wolfgang Utschick, Peter J. Schreier:
Maximally improper interference in underlay cognitive radio networks. ICASSP 2016: 3666-3670 - [c31]Jun Tong, Qinghua Guo, Jiangtao Xi, Yanguang Yu, Peter J. Schreier:
Choosing the diagonal loading factor for linear signal estimation using cross validation. ICASSP 2016: 3956-3959 - [c30]Aaron Pries, David Ramírez, Peter J. Schreier:
Detection of cyclostationarity in the presence of temporal or spatial structure with applications to cognitive radio. ICASSP 2016: 4249-4253 - [c29]Tanuj Hasija, Yang Song, Peter J. Schreier, David Ramírez:
Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime. SSP 2016: 1-5 - [i5]Yang Song, Peter J. Schreier, David Ramírez, Tanuj Hasija:
Canonical correlation analysis of high-dimensional data with very small sample support. CoRR abs/1604.02047 (2016) - [i4]Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Rate region boundary of the Z-interference channel with improper signaling. CoRR abs/1605.04201 (2016) - 2015
- [j25]Christian Plessl, Marco Platzner, Peter J. Schreier:
Approximate Computing. Inform. Spektrum 38(5): 396-399 (2015) - [j24]David Ramírez, Peter J. Schreier, Javier Vía, Ignacio Santamaría, Louis L. Scharf:
Detection of Multivariate Cyclostationarity. IEEE Trans. Signal Process. 63(20): 5395-5408 (2015) - [j23]Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Benefits of Improper Signaling for Underlay Cognitive Radio. IEEE Wirel. Commun. Lett. 4(1): 22-25 (2015) - [c28]Mohsen Rezaee, Peter J. Schreier, Maxime Guillaud, Bruno Clerckx:
A Simple DoF-Achievable Scheme for the Gaussian Interference Channel with Delayed CSIT. GLOBECOM 2015: 1-6 - [c27]Yang Song, Peter J. Schreier, Nicholas J. Roseveare:
Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small. ICASSP 2015: 3452-3456 - [c26]David Ramírez, Peter J. Schreier, Javier Vía, Ignacio Santamaría, Louis L. Scharf:
An asymptotic LMPI test for cyclostationarity detection with application to cognitive radio. ICASSP 2015: 5669-5673 - [c25]Nicholas J. Roseveare, Peter J. Schreier:
Model-order selection for analyzing correlation between two data sets using CCA with PCA preprocessing. ICASSP 2015: 5684-5687 - [c24]Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Analysis of maximally improper signaling schemes for underlay cognitive radio networks. ICC 2015: 1398-1403 - 2014
- [j22]Sven Dähne, Vadim V. Nikulin, David Ramírez, Peter J. Schreier, Klaus-Robert Müller, Stefan Haufe:
Finding brain oscillations with power dependencies in neuroimaging data. NeuroImage 96: 334-348 (2014) - [j21]David Ramírez, Peter J. Schreier, Javier Vía, Ignacio Santamaría:
Testing blind separability of complex Gaussian mixtures. Signal Process. 95: 49-57 (2014) - [j20]Tülay Adali, Peter J. Schreier:
Optimization and Estimation of Complex-Valued Signals: Theory and applications in filtering and blind source separation. IEEE Signal Process. Mag. 31(5): 112-128 (2014) - [j19]Sofia Charlotta Olhede, David Ramírez, Peter J. Schreier:
Detecting Directionality in Random Fields Using the Monogenic Signal. IEEE Trans. Inf. Theory 60(10): 6491-6510 (2014) - [c23]David Ramírez, Peter J. Schreier, Javier Vía, Ignacio Santamaría, Louis L. Scharf:
A regularized maximum likelihood estimator for the period of a cyclostationary process. ACSSC 2014: 1972-1976 - [c22]David Ramírez, Louis L. Scharf, Javier Vía, Ignacio Santamaría, Peter J. Schreier:
An asymptotic GLRT for the detection of cyclostationary signals. ICASSP 2014: 3415-3419 - [c21]Sven Dähne, Vadim V. Nikulin, David Ramírez, Peter J. Schreier, Klaus-Robert Müller, Stefan Haufe:
Optimizing spatial filters for the extraction of envelope-coupled neural oscillations. PRNI 2014: 1-4 - [c20]Jun Tong, Li Li, Qinghua Guo, Peter J. Schreier, Jiangtao Xi:
Regularized successive interference cancellation (SIC) under mismatched modeling. SSP 2014: 328-331 - [i3]Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Benefits of improper signaling for underlay cognitive radio. CoRR abs/1409.5716 (2014) - 2013
- [j18]Jun Tong, Peter J. Schreier:
A unified framework for regularized linear estimation in communication systems. Signal Process. 93(9): 2671-2686 (2013) - [j17]Jun Tong, Peter J. Schreier:
Regularized Preconditioning for Krylov Subspace Equalization of OFDM Systems over Doubly Selective Channels. IEEE Wirel. Commun. Lett. 2(4): 367-370 (2013) - [c19]David Ramírez, Peter J. Schreier, Javier Vía, Vadim V. Nikulin:
Power-CCA: Maximizing the correlation coefficient between the power of projections. ICASSP 2013: 6234-6238 - [c18]Jun Tong, Peter J. Schreier:
Linear equalization in communications with mismatched modeling using Krylov subspace expansion. WCNC 2013: 4288-4292 - [i2]Sofia C. Olhede, David Ramírez, Peter J. Schreier:
Measuring Directionality in Random Fields Using the Monogenic Signal. CoRR abs/1304.2998 (2013) - 2012
- [j16]Jun Tong, Peter J. Schreier, Steven R. Weller:
Design and Analysis of Large MIMO Systems With Krylov Subspace Receivers. IEEE Trans. Signal Process. 60(5): 2482-2493 (2012) - [j15]Jun Tong, Peter J. Schreier, Steven R. Weller:
Linear Precoding for MIMO Systems with Low-Complexity Receivers. IEEE Trans. Wirel. Commun. 11(8): 2828-2837 (2012) - [c17]Jun Tong, Peter J. Schreier:
Regularized linear equalization for multipath channels with imperfect channel estimation. ICASSP 2012: 3009-3012 - [c16]Sofia C. Olhede, David Ramírez, Peter J. Schreier:
The random monogenic signal. ICIP 2012: 2493-2496 - [c15]David Ramírez, Peter J. Schreier, Javier Vía, Ignacio Santamaría:
GLRT for testing separability of a complex-valued mixture based on the Strong Uncorrelating Transform. MLSP 2012: 1-6 - 2011
- [j14]Tülay Adali, Peter J. Schreier, Louis L. Scharf:
Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety. IEEE Trans. Signal Process. 59(11): 5101-5125 (2011) - [c14]Jun Tong, Peter J. Schreier, Steven R. Weller, Louis L. Scharf:
Linear precoding for time-varying MIMO channels with low-complexity receivers. ICASSP 2011: 3092-3095 - [c13]Jun Tong, Peter J. Schreier, Steven R. Weller:
Precoder design and convergence analysis of MIMO systems with Krylov subspace receivers. ISIT 2011: 2914-2918 - 2010
- [j13]Patrik Wahlberg, Peter J. Schreier:
On Wiener filtering of certain locally stationary stochastic processes. Signal Process. 90(3): 885-890 (2010) - [i1]Patrik Wahlberg, Peter J. Schreier:
On the instantaneous frequency of Gaussian stochastic processes. CoRR abs/1007.1069 (2010)
2000 – 2009
- 2009
- [c12]Patrik Wahlberg, Peter J. Schreier:
The Wiener filter for locally stationary stochastic processes is rarely locally stationary. EUSIPCO 2009: 2465-2469 - [c11]Peter J. Schreier, Tülay Adali, Louis L. Scharf:
On ICA of improper and noncircular sources. ICASSP 2009: 3561-3564 - 2008
- [j12]Peter J. Schreier:
Bounds on the Degree of Impropriety of Complex Random Vectors. IEEE Signal Process. Lett. 15: 190-193 (2008) - [j11]Patrik Wahlberg, Peter J. Schreier:
Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary Processes. IEEE Trans. Inf. Theory 54(4): 1670-1682 (2008) - [j10]Peter J. Schreier:
A Unifying Discussion of Correlation Analysis for Complex Random Vectors. IEEE Trans. Signal Process. 56(4): 1327-1336 (2008) - [j9]Peter J. Schreier:
Polarization Ellipse Analysis of Nonstationary Random Signals. IEEE Trans. Signal Process. 56(9): 4330-4339 (2008) - [c10]Patrik Wahlberg, Peter J. Schreier:
A time-frequency formula for LMMSE filters for nonstationary underspread continuous-time stochastic processes. EUSIPCO 2008: 1-5 - [c9]Peter J. Schreier:
The degree of impropriety (noncircularity) of complex random vectors. ICASSP 2008: 3909-3912 - 2007
- [j8]Mark Spurbeck, Peter J. Schreier:
Causal Wiener filter banks for periodically correlated time series. Signal Process. 87(6): 1179-1187 (2007) - [c8]Peter J. Schreier:
A New Interpretation of Bilinear Time-Frequency Distributions. ICASSP (3) 2007: 1133-1136 - [c7]Patrik Wahlberg, Peter J. Schreier:
Spectra of multidimensional complex improper (almost) cyclostationary processes. ISIT 2007: 971-975 - [c6]Vladimir D. Trajkovic, Minyue Fu, Peter J. Schreier:
Turbo Equalization With Irregular Turbo Codes. ISWCS 2007: 153-157 - 2006
- [j7]Peter J. Schreier, Louis L. Scharf:
Higher-order spectral analysis of complex signals. Signal Process. 86(11): 3321-3333 (2006) - [j6]Peter J. Schreier, Louis L. Scharf, Alfred Hanssen:
A generalized likelihood ratio test for impropriety of complex signals. IEEE Signal Process. Lett. 13(7): 433-436 (2006) - [j5]Peter J. Schreier, Louis L. Scharf:
Canonical coordinates for transform coding of noisy sources. IEEE Trans. Signal Process. 54(1): 235-243 (2006) - [c5]Peter J. Schreier, Louis L. Scharf, Alfred Hanssen:
A Statistical Test for Impropriety of Complex Random Signals. ICASSP (3) 2006: 796-799 - 2005
- [j4]Louis L. Scharf, Peter J. Schreier, Alfred Hanssen:
The Hilbert space geometry of the Rihaczek distribution for stochastic analytic signals. IEEE Signal Process. Lett. 12(4): 297-300 (2005) - [j3]Peter J. Schreier, Louis L. Scharf, Clifford T. Mullis:
Detection and estimation of improper complex random signals. IEEE Trans. Inf. Theory 51(1): 306-312 (2005) - [c4]Peter J. Schreier, Louis L. Scharf, Alfred Hanssen:
A geometric interpretation of the rihaczek time-frequency distribution for stochastic signals. ISIT 2005: 966-969 - 2004
- [c3]Peter J. Schreier, Louis L. Scharf:
Polyspectra of analytic signals. ICASSP (2) 2004: 473-476 - 2003
- [j2]Peter J. Schreier, Louis L. Scharf:
Second-order analysis of improper complex random vectors and processes. IEEE Trans. Signal Process. 51(3): 714-725 (2003) - [j1]Peter J. Schreier, Louis L. Scharf:
Stochastic time-frequency analysis using the analytic signal: why the complementary distribution matters. IEEE Trans. Signal Process. 51(12): 3071-3079 (2003) - [c2]Peter J. Schreier, Louis L. Scharf:
The Karhunen-Loeve expansion of improper complex random signals with applications in detection. ICASSP (6) 2003: 717-720 - 2002
- [c1]Peter J. Schreier, Louis L. Scharf:
Canonical coordinates for reduced-rank estimation of improper complex random vectors. ICASSP 2002: 1153-1156
Coauthor Index
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