Logo System Theory Group

Signal & System Theory Group

Professor Peter Schreier
Universität Paderborn, Germany

Professor Peter Schreier

M.S.E.E. (Notre Dame, USA), 1999
Ph.D. (Colorado at Boulder, USA), 2003

Room: P1.7.01.2
Phone: +49 (0)5251 60-2213

Student consultation hours: by prior appointment with Ms. Merle


I am Professor and Head of the Signal and System Theory Group in the Department of Electrical Engineering and Information Technology at the Universität Paderborn, Germany.

I was born in Munich, Germany, in 1975. I received a Master of Science from the University of Notre Dame, Indiana, USA, in 1999, and a Ph.D. from the University of Colorado at Boulder, USA, in 2003, both in electrical engineering. In the Fall semester of 1998, I was a visiting research student with the Coding Group at the University of Hawaii at Manoa, USA. In the Spring semester of 2004, I was a Postdoctoral Research Associate, and in the Spring semester of 2008, a Visiting Associate Professor with the Department of Electrical and Computer Engineering at Colorado State University, Ft. Collins, USA. From 2004 until 2011, I was with the School of Electrical Engineering and Computer Science at the University of Newcastle, Australia, first as Lecturer, then Senior Lecturer, and finally Associate Professor.

I have received fellowships from the State of Bavaria, the Studienstiftung des deutschen Volkes (German National Academic Foundation), and the Deutsche Forschungsgemeinschaft (German Research Foundation). From 2008 until 2012, I was an Associate Editor of the IEEE Transactions on Signal Processing, and from 2010 until 2014 a Senior Area Editor for the same Transactions. Currently, I serve as an Associate Editor for the IEEE Signal Processing Letters. I am a Senior Member of the IEEE. From 2009 until 2014, I was a member of the IEEE Technical Committee on Machine Learning for Signal Processing, and I am currently a member of the IEEE Technical Committee on Signal Processing Theory and Methods.

List of Publications

Book
1
publication picture
Peter J. Schreier and Louis L. Scharf
Statistical signal processing of complex-valued data
The theory of improper and noncircular signals
330 pages, Cambridge University Press2010.

Complex-valued random signals are embedded in the very fabric of science and engineering, yet the usual assumptions made about their statistical behavior are often a poor representation of the underlying physics. This book deals with improper and noncircular complex signals, which do not conform to classical assumptions, and it demonstrates how correct treatment of these signals can have significant payoffs. The book begins with detailed coverage of the fundamental theory and presents a variety of tools and algorithms for dealing with improper and noncircular signals. It provides a comprehensive account of the main applications, covering detection, estimation, and signal analysis of stationary, nonstationary, and cyclostationary processes. Providing a systematic development from the origin of complex signals to their probabilistic description makes the theory accessible to newcomers. This book is ideal for graduate students and researchers working with complex data in a range of research areas from communications to oceanography. [BibTeX]

Journal articles
2
Rate region boundary of the SISO Z-interference channel with improper signaling
(Christian Lameiro, Ignacio Santamaría and Peter J. Schreier)
IEEE Trans. Comm.2016, accepted for publication. [BibTeX]
3
Canonical correlation analysis of high-dimensional data with very small sample support
(Yang Song, Peter J. Schreier, David Ramírez and Tanuj Hasija)
Signal Process. 128pp. 449–458November 2016. [BibTeX]
4
Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data
(Y. Levin-Schwartz, Yang Song, Peter J. Schreier, V.D. Calhoun and Tülay Adali)
NeuroImage 134pp. 486–493July 2016. [BibTeX]
5
Shrinkage of covariance matrices for linear signal estimation using cross-validation
(Jun Tong, Peter J. Schreier, Qinghua Guo, S. Tong, Jiangtao Xi and Y. Yu)
IEEE Trans. Signal Process. 64 (11),  pp. 2965–2975June 2016. [BibTeX]
6
A unified scheme to achieve the degrees-of-freedom region of the MIMO interference channel with delayed channel state information
(Mohsen Rezaee, Peter J. Schreier, M. Guillaud and B. Clerckx)
IEEE Trans. Comm. 64 (3),  pp. 1068–1082March 2016. [BibTeX]
7
Detection of multivariate cyclostationarity
(D. Ramírez, P. J. Schreier, J. Via, I. Santamaria and L. L. Scharf)
IEEE Trans. Signal Processing 63 (20),  pp. 5395–5408October 2015. [BibTeX]
8
Link to PDF
Benefits of improper signaling for underlay cognitive radio
(Christian Lameiro, Ignacio Santamaría and Peter J. Schreier)
IEEE Wireless Comm. Lett. 4pp. 22–25February 2015.
DOI:10.1109/LWC.2014.2360179.
[BibTeX] [Abstract]
9
Finding brain oscillations with power dependencies in neuroimaging data
(S. Dähne, V. V. Nikulin, D. Ramírez, P. J. Schreier, K.-R. Müller and S. Haufe)
NeuroImage 96pp. 334–3482014.
DOI:10.1016/j.neuroimage.2014.03.075.
[BibTeX] [Abstract]
10
Link to PDF
Detecting directionality in random fields using the monogenic signal
(S. C. Olhede, D. Ramírez and P. J. Schreier)
IEEE Trans. Inform. Theory 60 (10),  pp. 6491–6510October 2014.
DOI:10.1109/TIT.2014.2342734.
[BibTeX] [Abstract]
11
Optimization and estimation of complex-valued signals
(Tulay Adali and Peter J. Schreier)
IEEE Signal Processing Magazine 31 (5),  pp. 112–128September 2014.
DOI:10.1109/MSP.2013.2287951.
[BibTeX] [Abstract]
12
Testing blind separability of complex Gaussian mixtures
(D. Ramírez, P. J. Schreier, J. Vía and I. Santamaría)
Signal Process. 95pp. 49–57February 2014.
DOI:10.1016/j.sigpro.2013.08.010.
[BibTeX] [Abstract]
13
Link to PDF
Neue Anwendungsgebiete für Computer Assisted Surgery (CAS)
(Peter J. Schreier)
ForschungsForum Paderborn 17pp. 24–30February 2014. [BibTeX]
14
A unified framework for regularized linear estimation in communication systems
(Jun Tong and Peter J. Schreier)
Signal Process. 93 (9),  pp. 2671–2686September 2013.
DOI:10.1016/j.sigpro.2013.03.002.
[BibTeX] [Abstract]
15
Regularized preconditioning for Krylov Subspace Equalization of OFDM systems over doubly selective channels
(Jun Tong and Peter J. Schreier)
IEEE Wireless Comm. Lett. 2 (4),  pp. 367–370August 2013.
DOI:10.1109/WCL.2013.042313.130096.
[BibTeX]
16
On the instantaneous frequency of Gaussian stochastic processes
(Patrik Wahlberg and Peter J. Schreier)
Probab. Math. Statist. 32pp. 69–922012. [BibTeX] [Abstract]
17
Linear precoding for MIMO systems with low-complexity receivers
(Jun Tong, Peter J. Schreier and Steven R. Weller)
IEEE Trans. Wireless Comm. 11 (8),  pp. 2828–2837August 2012.
DOI:10.1109/TWC.2012.070912.110877.
[BibTeX] [Abstract]
18
Design and analysis of large MIMO systems with Krylov subspace receivers
(Jun Tong, Peter J. Schreier and Steven R. Weller)
IEEE Trans. Signal Process. 60 (5),  pp. 2482–2493May 2012.
DOI:10.1109/TSP.2012.2187287.
[BibTeX] [Abstract]
19
Locally stationary harmonizable complex improper stochastic processes
(Patrik Wahlberg and Peter J. Schreier)
J. Time Ser. Anal. 32 (1),  pp. 33–46Blackwell Publishing Ltd2011.
DOI:10.1111/j.1467-9892.2010.00682.x.
[BibTeX] [Abstract]
20
Complex-valued signal processing: the proper way to deal with impropriety
(Tülay Adali, Peter J. Schreier and Louis L. Scharf)
IEEE Trans. Signal Process. 59 (11),  pp. 5101–5125November 2011.
DOI:10.1109/TSP.2011.2162954.
[BibTeX] [Abstract]
21
On Wiener filtering of certain locally stationary stochastic processes
(Patrik Wahlberg and Peter J. Schreier)
Signal Process. 90 (3),  pp. 885–890March 2010.
DOI:10.1016/j.sigpro.2009.09.013.
[BibTeX] [Abstract]
22
Gabor discretization of the Weyl product for modulation spaces and filtering of nonstationary stochastic processes
(Patrik Wahlberg and Peter J. Schreier)
Appl. Comput. Harmon. Anal. 26 (1),  pp. 97–1202009.
DOI:10.1016/j.acha.2008.02.005.
[BibTeX] [Abstract]
23
Bounds on the degree of impropriety of complex random vectors
(Peter J. Schreier)
IEEE Signal Process. Lett. 15pp. 190–1932008.
DOI:10.1109/LSP.2007.913134.
[BibTeX] [Abstract]
24
Polarization ellipse analysis of nonstationary random signals
(Peter J. Schreier)
IEEE Trans. Signal Process. 56 (9),  pp. 4330–4339September 2008.
DOI:10.1109/TSP.2008.925961.
[BibTeX] [Abstract]
25
A unifying discussion of correlation analysis for complex random vectors
(Peter J. Schreier)
IEEE Trans. Signal Process. 56 (4),  pp. 1327–1336April 2008.
DOI:10.1109/TSP.2007.909054.
[BibTeX] [Abstract]
26
Spectral relations for multidimensional complex improper stationary and (almost) cyclostationary processes
(Patrik Wahlberg and Peter J. Schreier)
IEEE Trans. Inform. Theory 54 (4),  pp. 1670–1682April 2008.
DOI:10.1109/TIT.2008.917626.
[BibTeX] [Abstract]
27
Causal Wiener filter banks for periodically correlated time series
(Mark S. Spurbeck and Peter J. Schreier)
Signal Process. 87 (6),  pp. 1179–1187Amsterdam, The NetherlandsElsevier North-Holland, Inc.June 2007.
DOI:10.1016/j.sigpro.2006.10.008.
[BibTeX] [Abstract]
28
Higher-order spectral analysis of complex signals
(Peter J. Schreier and Louis L. Scharf)
Signal Process. 86 (11),  pp. 3321–3333November 2006.
DOI:10.1016/j.sigpro.2006.02.027.
[BibTeX] [Abstract]
29
A generalized likelihood ratio test for impropriety of complex signals
(Peter J. Schreier, Louis L. Scharf and Alfred Hanssen)
IEEE Signal Process. Lett. 13 (7),  pp. 433–436July 2006.
DOI:10.1109/LSP.2006.871858.
[BibTeX] [Abstract]
30
Canonical coordinates for transform coding of noisy sources
(Peter J. Schreier and Louis L. Scharf)
IEEE Trans. Signal Process. 54 (1),  pp. 235–243January 2006.
DOI:10.1109/TSP.2005.861085.
[BibTeX] [Abstract]
31
The Hilbert space geometry of the Rihaczek distribution for stochastic analytic signals
(Louis L. Scharf, Peter J. Schreier and Alfred Hanssen)
IEEE Signal Process. Lett. 12 (4),  pp. 297–300April 2005.
DOI:10.1109/LSP.2005.843772.
[BibTeX] [Abstract]
32
Detection and estimation of improper complex random signals
(Peter J. Schreier, Louis L. Scharf and Clifford T. Mullis)
IEEE Trans. Inform. Theory 51 (1),  pp. 306–312January 2005.
DOI:10.1109/TIT.2004.839538.
[BibTeX] [Abstract]
33
Stochastic time-frequency analysis using the analytic signal: why the complementary distribution matters
(Peter J. Schreier and Louis L. Scharf)
IEEE Trans. Signal Process. 51 (12),  pp. 3071–3079December 2003.
DOI:10.1109/TSP.2003.818911.
[BibTeX] [Abstract]
34
Second-order analysis of improper complex random vectors and processes
(Peter J. Schreier and Louis L. Scharf)
IEEE Trans. Signal Process. 51 (3),  pp. 714–725March 2003.
DOI:10.1109/TSP.2002.808085.
[BibTeX] [Abstract]

Conference articles
35
Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small
(Christian Lameiro and Peter J. Schreier)
Proc. Asilomar Conf. Signals Syst. ComputersPacific Grove, CA, USANovember 2016. [BibTeX]
36
Determining the number of signals correlated across multiple data sets for small sample support
(Yang Song, Tanuj Hasija, Peter J. Schreier and David Ramírez)
Proc. Eur. Signal Process. Conf.Budapest, HungarySeptember 2016. [BibTeX]
37
Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime
(Tanuj Hasija, Yang Song, Peter J. Schreier and David Ramírez)
Proc. IEEE Work. Stat. Signal Process.Palma de Mallorca, SpainJune 2016. [BibTeX]
38
Link to PDF
Matlab code
Detection of cyclostationarity in the presence of temporal or spatial structure with applications to cognitive radio
(Aaron Pries, David Ramírez and Peter J. Schreier)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.pp. 4249–4253Shanghai, ChinaMarch 2016.
DOI:10.1109/ICASSP.2016.7472478.
[BibTeX] [Abstract]
39
Maximally improper interference in underlay cognitive radio networks
(Christian Lameiro, I. Santamaría, W. Utschick and Peter J. Schreier)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.Shanghai, ChinaMarch 2016. [BibTeX]
40
Choosing the diagonal loading factor for linear signal estimation using cross validation
(Jun Tong, Qinghua Guo, Jiangtao Xi, Y. Yu and Peter J. Schreier)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.Shanghai, ChinaMarch 2016. [BibTeX]
41
A simple DoF-achievable scheme for the Gaussian interference channel with delayed CSIT
(M. Rezaee, P. J. Schreier, M. Guillaud and B. Clerckx)
Proc. IEEE Global Communications Convference: Communication TheorySan Diego, CADecember 2015. [BibTeX]
42
Link to PDF
Analysis of maximally improper signalling schemes for underlay cognitive radio
(Christian Lameiro, Ignacio Santamaría and Peter J. Schreier)
Proc. IEEE Int. Conf. Comm.London, UKJune 2015. [BibTeX] [Abstract]
43
Link to PDF
An asymptotic LMPI test for cyclostationarity detection with application to cognitive radio (invited paper)
(D. Ramírez, P. J. Schreier, J. Vía, I. Santamaría and L. L. Scharf)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.Brisbane, AustraliaApril 2015. [BibTeX] [Abstract]
44
Model-order selection for analyzing correlation between two data sets using CCA with PCA preprocessing
(N. Roseveare and P. J. Schreier)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.Brisbane, AustraliaApril 2015. [BibTeX]
45
Matlab code
Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small
(Y. Song, P. J. Schreier and N. Roseveare)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.Brisbane, AustraliaApril 2015. [BibTeX]
46
Link to PDF
A regularized maximum likelihood estimator for the period of a cyclostationary process
(D. Ramírez, P. J. Schreier, J. Vía, I. Santamaría and L. L. Scharf)
Proc. Asilomar Conf. Signals Syst. ComputersPacific Grove, USANovember 2014. [BibTeX] [Abstract]
47
Link to PDF
Optimizing spatial filters for the extraction of envelope-coupled neural oscillations
(S. Dähne, V. V. Nikulin, D. Ramírez, P. J. Schreier, K.-R. Müller and S. Haufe)
Proc. Int. Work. Pattern Recognition In NeuroimagingTübingen, GermanyJune 2014.
DOI:10.1109/PRNI.2014.6858514.
[BibTeX] [Abstract]
48
Regularized successive interference cancellation (sic) under mismatched modeling
(Jun Tong, Qinghua Guo, Peter J. Schreier and Jiangtao Xi)
Proc. IEEE Work. Stat. Signal Process.Gold Coast, AustraliaJune 2014.
DOI:10.1109/SSP.2014.6884642.
[BibTeX] [Abstract]
49
Link to PDF
An asymptotic GLRT for the detection of cyclostationary signals
(D. Ramírez, L. L. Scharf, J. Vía, I. Santamaría and P. J. Schreier)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.Florence, ItalyMay 2014.
DOI:10.1109/ICASSP.2014.6854234.
[BibTeX] [Abstract]
50
Linear equalization in communications with mismatched modeling using Krylov subspace expansion
(Jun Tong and Peter J. Schreier)
Proc. IEEE Wireless Comm. Networking Conf. (WCNC)2013. [BibTeX]
51
Link to PDF
Power-CCA: maximizing the correlation coefficient between the power of projections
(D. Ramírez, P. J. Schreier, J. Vía and V. V. Nikulin)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.Vancouver, CanadaMay 2013.
DOI:10.1109/ICASSP.2013.6638864.
[BibTeX] [Abstract]
52
Link to PDF
GLRT for testing separability of a complex-valued mixture based on the strong uncorrelating transform
(D. Ramírez, P. J. Schreier, J. Vía and I. Santamaría)
Proc. IEEE Int. Work. Machine Learning for Signal Process.Santander, SpainSeptember 2012.
DOI:10.1109/MLSP.2012.6349785.
[BibTeX] [Abstract]
53
Link to PDF
The random monogenic signal
(S. C. Olhede, D. Ramírez and P. J. Schreier)
Proc. IEEE Int. Conf. Image Process.Orlando, Florida, USASeptember 2012.
DOI:10.1109/ICIP.2012.6467404.
[BibTeX] [Abstract]
54
Regularized linear equalization for multipath channels with imperfect channel estimation
(Jun Tong and Peter J. Schreier)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.pp. 3009–3012March 2012.
DOI:10.1109/ICASSP.2012.6288548.
[BibTeX] [Abstract]
55
Precoder design and convergence analysis of MIMO systems with Krylov subspace receivers
(Jun Tong, Peter J. Schreier and Steven R. Weller)
Proc. IEEE Int. Symp. Inform. Theorypp. 2914–2918August 2011.
DOI:10.1109/ISIT.2011.6034110.
[BibTeX] [Abstract]
56
Linear precoding for time-varying MIMO channels with low-complexity receivers
(Jun Tong, Peter J. Schreier, Steven R. Weller and Louis L. Scharf)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.pp. 3092–3095May 2011.
DOI:10.1109/ICASSP.2011.5946312.
[BibTeX] [Abstract]
57
The Wiener filter for locally stationary stochastic processes is rarely locally stationary
(Patrik Wahlberg and Peter J. Schreier)
Proc. 17th European Signal Process. Conf.pp. 2465–2469August 2009. [BibTeX] [Abstract]
58
On ICA of improper and noncircular sources
(Peter J. Schreier, Tülay Adali and Louis L. Scharf)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.pp. 3561–3564April 2009.
DOI:10.1109/ICASSP.2009.4960395.
[BibTeX] [Abstract]
59
A time-frequency formula for LMMSE filters for nonstationary underspread continuous-time stochastic processes
(Patrik Wahlberg and Peter J. Schreier)
Proc. 16th European Signal Process. Conf.August 2008. [BibTeX] [Abstract]
60
The degree of impropriety (noncircularity) of complex random vectors
(Peter J. Schreier)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.pp. 3909–3912April 2008.
DOI:10.1109/ICASSP.2008.4518508.
[BibTeX] [Abstract]
61
Near-capacity turbo equalization using optimized turbo codes
(Vladimir D. Trajkovic, Minyue Fu and Peter J. Schreier)
Proc. Australasian Telecomm. Netw. Applic. Conf.pp. 480–484December 2007.
DOI:10.1109/ATNAC.2007.4665276.
[BibTeX] [Abstract]
62
Correlation coefficients for complex random vectors
(Peter J. Schreier)
Proc. 41st Asilomar Conf. Signals Syst. Computerspp. 577–581November 2007.
DOI:10.1109/ACSSC.2007.4487279.
[BibTeX] [Abstract]
63
Frequency-domain properties of locally stationary improper second-order stochastic processes
(Patrik Wahlberg and Peter J. Schreier)
Proc. 41st Asilomar Conf. Signals Syst. Computerspp. 1093–1097November 2007.
DOI:10.1109/ACSSC.2007.4487391.
[BibTeX] [Abstract]
64
Turbo equalization with irregular turbo codes
(Vladimir D. Trajkovic, Minyue Fu and Peter J. Schreier)
Proc. 4th Int. Symp. Wireless Comm. Syst.pp. 153–157October 2007.
DOI:10.1109/ISWCS.2007.4392320.
[BibTeX] [Abstract]
65
Spectra of multidimensional complex improper (almost) cyclostationary processes
(Patrik Wahlberg and Peter J. Schreier)
Proc. IEEE Int. Symp. Inform. Theorypp. 971–975June 2007.
DOI:10.1109/ISIT.2007.4557350.
[BibTeX] [Abstract]
66
A new interpretation of bilinear time-frequency distributions
(Peter J. Schreier)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.pp. 1133–1136April 2007.
DOI:10.1109/ICASSP.2007.366884.
[BibTeX] [Abstract]
67
Causal cyclic Wiener filtering
(Mark S. Spurbeck, Peter J. Schreier and Louis L. Scharf)
Proc. 40th Asilomar Conf. Signals Syst. Computerspp. 1425–1429November 2006.
DOI:10.1109/ACSSC.2006.354993.
[BibTeX] [Abstract]
68
A statistical test for impropriety of complex random signals
(Peter J. Schreier, Louis L. Scharf and Alfred Hanssen)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.pp. 796–799May 2006.
DOI:10.1109/ICASSP.2006.1660774.
[BibTeX] [Abstract]
69
A geometric interpretation of the Rihaczek time-frequency distribution for stochastic signals
(Peter J. Schreier, Louis L. Scharf and Alfred Hanssen)
Proc. IEEE Int. Symp. Inform. Theorypp. 966–969September 2005.
DOI:10.1109/ISIT.2005.1523481.
[BibTeX] [Abstract]
70
A note on aliasing in higher order spectra
(Peter J. Schreier)
Proc. 6th Australian Comm. Theory Works.pp. 184–188February 2005.
DOI:10.1109/AUSCTW.2005.1624249.
[BibTeX] [Abstract]
71
Polyspectra of analytic signals
(Peter J. Schreier and Louis L. Scharf)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.pp. 473–476May 2004.
DOI:10.1109/ICASSP.2004.1326297.
[BibTeX] [Abstract]
72
Widely-linear beamforming
(Todd McWhorter and Peter J. Schreier)
Proc. 37th Asilomar Conf. Signals Syst. Computerspp. 753–759November 2003.
DOI:10.1109/ACSSC.2003.1292015.
[BibTeX] [Abstract]
73
Canonical coordinates are the right coordinate system for transform coding of noisy sources
(Peter J. Schreier, Louis L. Scharf, Tianjian Hu and Stephen D. Voran)
Proc. IEEE Works. Statistical Signal Proces.pp. 234–237September 2003.
DOI:10.1109/SSP.2003.1289387.
[BibTeX] [Abstract]
74
A unified approach to performance comparisons between linear and widely linear processing
(Peter J. Schreier, Louis L. Scharf and Clifford T. Mullis)
Proc. IEEE Works. Statistical Signal Proces.pp. 114–117September 2003.
DOI:10.1109/SSP.2003.1289353.
[BibTeX] [Abstract]
75
The Karhunen-Loève expansion of improper complex random signals with applications in detection
(Peter J. Schreier and Louis L. Scharf)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.pp. 717–720April 2003.
DOI:10.1109/ICASSP.2003.1201782.
[BibTeX] [Abstract]
76
Reducing interference in stochastic time-frequency analysis without losing information
(Peter J. Schreier and Louis L. Scharf)
Proc. 36th Asilomar Conf. Signals Syst. Computerspp. 1565–1570November 2002.
DOI:10.1109/ACSSC.2002.1197041.
[BibTeX] [Abstract]
77
Canonical coordinates for reduced-rank estimation of improper complex random vectors
(Peter J. Schreier and Louis L. Scharf)
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.pp. 1153–1156May 2002.
DOI:10.1109/ICASSP.2002.5744004.
[BibTeX] [Abstract]
78
Low-rank approximation of improper complex random vectors
(Peter J. Schreier and Louis L. Scharf)
Proc. 35th Asilomar Conf. Signals Syst. Computerspp. 597–601November 2001.
DOI:10.1109/ACSSC.2001.986993.
[BibTeX] [Abstract]
79
MAP decoding of linear block codes based on a sectionalized trellis of the dual code
(Peter J. Schreier and Daniel J. Costello, Jr.)
Proc. Int. Zurich Seminar Broadband Comm.pp. 271–278February 2000.
DOI:10.1109/IZSBC.2000.829262.
[BibTeX] [Abstract]