2 edition of **Statistical signal processing of complex-valued data** found in the catalog.

- 187 Want to read
- 23 Currently reading

Published
**2010**
by Cambridge University Press in Cambridge
.

Written in English

- Statistical methods,
- Signal processing

**Edition Notes**

Includes bibliographical references and index.

Other titles | Cambridge books online. |

Statement | Peter J. Schreier, Louis L. Scharf |

Contributions | Scharf, Louis L. |

Classifications | |
---|---|

LC Classifications | TK5102.9 .S37 2010 |

The Physical Object | |

Pagination | xix, 309 p. : |

Number of Pages | 309 |

ID Numbers | |

Open Library | OL25545461M |

ISBN 10 | 0521897726 |

ISBN 10 | 9780521897723, 9780511815911 |

OCLC/WorldCa | 449827576 |

Statistical signal processing algorithms work to extract the good despite the “efforts” of the bad. This course covers the two basic approaches to statistical signal processing: estimation and detection. In estimation, we want to determine a signal’s waveform or some signal aspect(s). Typically the parameter or signal we want is buried in. The aim of this book is to serve as a graduate text and reference in time series analysis and signal processing, two closely related subjects that are the concern of a wide range of disciplines, such as statistics, electrical engineering, mechanical engineering and physics.

processing complex-valued random signals. For example, most practical modulation schemes in communications are complex-valued and applications such as radar, spectral analysis of time series and magnetic resonance imaging lead to data that are inherently complex-valued. In . A problem-solving approach to statistical signal processing for practicing engineers, technicians, and graduate students This book takes a pragmatic approach in solving a set of common problems engineers and technicians encounter when processing signals. In writing it, the author drew on his vast theoretical and practical experience in the field to provide a quick-solution manual for Author: Umberto Spagnolini.

Get this from a library! Statistical signal processing of complex-valued data: the theory of improper and noncircular signals. [Peter J Schreier; Louis L Scharf] -- "Complex-valued random signals are embedded into the very fabric of science and engineering, yet the usual assumptions made about their statistical behavior are often a poor representation of the. Statistical Signal Processing of Complex-Valued Data by Peter J. Schreier, Louis L. Scharf at - ISBN - ISBN - Cambridge University Press - 5/5(2).

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Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals 1st Edition.

Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals. 1st Edition. by: Buy Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals: Read Books Reviews - ufacturer: Cambridge University Press.

Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals by Professor Peter J. Schreier () on *FREE* shipping on qualifying offers. Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals by Professor Peter J.

Schreier ()Manufacturer: Cambridge University Press. Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals by Professor Peter J. Schreier (4-Feb) Hardcover on *FREE* shipping on qualifying offers.

Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals by Professor Peter J. Schreier (4-Feb) Hardcover.

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 5/5(2). 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.

Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals Peter J.

Schreier, Louis L. Scharf 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.

Statistical Signal Processing of Complex-Valued Data Complex-valued random signals are embedded into 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 File Size: KB. Her research interests concern statistical and adaptive signal processing, with an emphasis on nonlinear and complex-valued signal processing, and applications in biomedical data analysis and communications.

Blind identification consists of estimating a multidimensional system through the use of. This book is very comprehensive, covering all essential topics in signal detection, all down to the bottom.

However, it requires a very high level of mathematical maturity and understanding as all derivations are pretty jumpy with slight notational by: Statistical Signal Processing of Complex-Valued Data - by Peter J.

Schreier February Statistical signal processing of complex-valued data: the theory of improper and noncircular signals Peter J Schreier, Louis L Scharf 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.

Statistical Signal Processing of Complex-Valued Data The Theory of Improper and Noncircular Signals PETER J. SCHREIER University of Newcastle, New South Wales, Australia LOUIS L. SCHARF Colorado State University, Colorado, USA CAMBRIDGE UNIVERSITY PRESS.

Statistical Signal Processing of Complex-Valued Data – The Theory of Improper and Noncircular Signals Schreier, Peter J. and Louis L. Scharf. Remarkable Engineers - From Riquet to Shannon. New York, NY: Cambridge University Press,pp.

$ (Hardbound). Complex-valued random signals are embedded into the very fabric of science and. Statistical Signal Processing of Complex-Valued Data - by Peter J. Schreier February Please note, due to essential maintenance online purchasing will be unavailable between and (GMT) on 23rd November Author: Peter J.

Schreier, Louis L. Scharf. Library of Congress Cataloging in Publication data ISBN Hardback Cambridge University Press has no responsibility for the persistence or accuracy of URLs for external or third-party internet websites referred to in this publication, and does not guarantee that any content on such websites is, or will remain, accurate or Cited by: Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals by Peter J.

Schreier. 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.

When taking impropriety and noncircularity into account, the right type of processing can provide significant performance gains. There are two key ingredients in the statistical signal processing of complex-valued data: 1) utilizing the complete statistical characterization of complex-valued random signals; and 2) the optimization of real.

Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the subject, it provides a comprehensive overview of the field, moving from fundamental theory through to important new results and recent advances.

Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals by Peter J. Schreier and Louis L. Scharf. Scope: textbook. Level: postgraduate, researcher Foreman, Matthew R.

Abstract. Publication: Contemporary Physics. Pub Date: May DOI: / Author: Matthew R. Foreman. processes can be viewed as the analysis of statistical signal processing sys-tems: typically one is given a probabilistic description for one random object, which can be considered as an input signal.

An operation is applied to the input signal (signal processing) to produce a new random object, the output signal. Fundamental issues include the nature of the basic probabilistic de.This book is ideal for graduate students and researchers working with complex data in a range of research areas from communications to oceanography.

Download Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals.Introduction to Statistical Signal Processing 4 January This site provides the current version of the book Introduction to Statistical Signal Processing by R.M.

Gray and L.D. Davisson in the Adobe portable document format (PDF) as well as ordering information for the new Paperback corrected version published by Cambridge University Press in February