Statistical Signals

Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals (repost)

Peter J. Schreier, Louis L. Scharf, "Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals"
English | 2010 | ISBN: 0521897726 | 330 pages | PDF | 3 MB
Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals (repost)

Peter J. Schreier, Louis L. Scharf, "Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals"
2010 | ISBN: 0521897726 | 330 pages | PDF | 3 MB

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.

Statistical Signal Processing of Complex-Valued Data (Repost)  eBooks & eLearning

Posted by Specialselection at June 19, 2012
Statistical Signal Processing of Complex-Valued Data (Repost)

Professor Peter J. Schreier, Professor Louis L. Scharf, "Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals"
English | 2010-03-15 | ISBN: 0521897726 | 331 pages | PDF | 2.4 mb
Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals

Peter J. Schreier, Louis L. Scharf, "Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals"
Cambridge University Press | 2010 | ISBN: 0521897726 | 330 pages | PDF | 2,9 MB
Evidence-Based Technical Analysis: Applying the Scientific Method and Statistical Inference to Trading Signals

David R Aronson "Evidence-Based Technical Analysis: Applying the Scientific Method and Statistical Inference to Trading Signals"
Wiley | English | 2006-11-03 | ISBN: 0470008741 | 544 pages | PDF | 150 MB
Fast Electrochemical Impedance Spectroscopy: As a Statistical Condition Monitoring Tool

Fast Electrochemical Impedance Spectroscopy: As a Statistical Condition Monitoring Tool By Pavle Boškoski, Andrej Debenjak, Biljana Mileva Boshkoska
English | PDF | 2017 | 90 Pages | ISBN : 3319533894 | 3 MB

This book offers a review of electrochemical impedance spectroscopy (EIS) and its application in online condition monitoring of electrochemical devices, focusing on the practicalities of performing fast and accurate EIS. The first part of the book addresses the theoretical aspects of the fast EIS technique, including stochastic excitation signals, time-frequency signal processing, and statistical analysis of impedance measurements.

Blind Identification and Separation of Complex-valued Signals (repost)  eBooks & eLearning

Posted by libr at April 28, 2017
Blind Identification and Separation of Complex-valued Signals (repost)

Blind Identification and Separation of Complex-valued Signals by Eric Moreau and Tulay Adali
English | 2013 | ISBN: 1848214596 | 112 pages | PDF | 1 MB

Multirate Statistical Signal Processing (Repost)  eBooks & eLearning

Posted by step778 at Jan. 27, 2017
Multirate Statistical Signal Processing (Repost)

Omid S. Jahromi, "Multirate Statistical Signal Processing"
2007 | pages: 178 | ISBN: 1402053169 | PDF | 3,2 mb
Statistical Spectral Analysis: A Non-Probabilistic Theory (Prentice Hall Information and System Sciences Series)

Statistical Spectral Analysis: A Non-Probabilistic Theory (Prentice Hall Information and System Sciences Series) by William A. Gardner
English | Jan. 1988 | ISBN: 0138445729 | 591 Pages | PDF | 41 MB

Part I of the book reformulates the entire problem of statistical spectral analysis in terms of time averages instead of the traditional but more abstract ensemble averages.
Part II builds on this theory and methodology by extending and generalizing it from statistically stationary data to cyclostationary data.
Introduction to Random Processes, With Applications to Signals & Systems, Second Edition(Repost)

Introduction to Random Processes, With Applications to Signals & Systems, Second Edition by William A. Gardner
English | 1990 | ISBN: 0070228558 | 496 Pages | PDF | 12.19 MB