Statistical Signals

Evidence-Based Technical Analysis: Applying the Scientific Method and Statistical Inference to Trading Signals

David Aronson, "Evidence-Based Technical Analysis: Applying the Scientific Method and Statistical Inference to Trading Signals"
English | 2006 | ISBN: 0470008741 | 544 pages | DJVU | 6.4 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
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
Natural Time Analysis: The New View of Time: Precursory Seismic Electric Signals, Earthquakes and other Complex Time Series

Panayiotis Varotsos, Nicholas V. Sarlis, Efthimios S. Skordas - Natural Time Analysis: The New View of Time: Precursory Seismic Electric Signals, Earthquakes and other Complex Time Series
Published: 2011-08-19 | ISBN: 364216448X, 3642271340 | PDF | 452 pages | 34.25 MB

Non-Gaussian Statistical Communication Theory (repost)  eBooks & eLearning

Posted by fdts at Sept. 17, 2016
Non-Gaussian Statistical Communication Theory (repost)

Non-Gaussian Statistical Communication Theory
by David Middleton
English | 2012 | ISBN: 0470948477 | 664 pages | PDF | 6.26 MB

Detection of Random Signals in Dependent Gaussian Noise  eBooks & eLearning

Posted by Underaglassmoon at Dec. 20, 2015
Detection of Random Signals in Dependent Gaussian Noise

Detection of Random Signals in Dependent Gaussian Noise
Springer | Mathematics | January 15, 2016 | ISBN-10: 3319223143 | 1176 pages | pdf | 9.3 mb

by Antonio F. Gualtierotti (Author)
Derives a new likelihood function for solving basic problems in the theory of signal detection
Completes the Cramér-Hida representation theory
Investigates the scope of the signal-plus-noise model
Includes the necessary details to make the theory ready for application
References to statistical communication theory illustrate the power of the mathematics involved