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Peter J. Schreier
Researcher at University of Paderborn
Publications - 140
Citations - 2996
Peter J. Schreier is an academic researcher from University of Paderborn. The author has contributed to research in topics: Covariance matrix & Cyclostationary process. The author has an hindex of 20, co-authored 138 publications receiving 2680 citations. Previous affiliations of Peter J. Schreier include University of Newcastle & Newcastle University.
Papers
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Book
Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals
TL;DR: This chapter discusses the origins and uses of complex signals, and the importance of majorization in the development of complex random vectors and processes.
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Second-order analysis of improper complex random vectors and processes
TL;DR: The concepts of propriety and joint propriety are linked to eigenanalysis and canonical correlation analysis and applied to the problem of rank reduction through principal components of complex random vectors and wide-sense stationary signals.
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Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety
TL;DR: An overview article reviewing the necessary tools, among which are widely linear transformations, augmented statistical descriptions, and Wirtinger calculus, for complex-valued signal processing, addressing the topics of model selection, filtering, and source separation.
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Detection and estimation of improper complex random signals
TL;DR: A general result is derived comparing the performance of conventional processing, which ignores complementary covariances, with processing that takes these into account, and it is shown how this finding generalizes the result that coherent processing enjoys a 3-dB gain over noncoherent processing.