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OverviewIn the framework of Digital Signal Processing, the Parametric Modeling of Signals offers as a natural byproduct a class of Spectral tools, namely the so-called Rational Spectra. This class of Spectra (and their associated Estimators) applies to the case of Stationary as well as Non-Stationary Signals and Random Processes. This important text brings together the significant advances that have been achieved over the last ten years from the confrontation of the theory and its variety of applications. Full Product DetailsAuthor: Francis CastaniePublisher: ISTE Ltd and John Wiley & Sons Inc Imprint: ISTE Ltd and John Wiley & Sons Inc Dimensions: Width: 15.00cm , Height: 2.50cm , Length: 25.00cm Weight: 0.674kg ISBN: 9781848214620ISBN 10: 1848214626 Pages: 208 Publication Date: 04 August 2016 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Not yet available  This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of Contents1. Principle Reminders: 1.1 Classical (2nd order) Spectral Analysis by Stationary Time Series Linear Modeling Parameter Estimation Principles in the Stationary framework: -Least Mean Square - Maximum Likelihood -Minimum Variance, -Subspace Based Methods -Rational Approximants 1.2 Higher Order Spectra Extensions For the minority of methods for which the extensions presently exist, they will be described. 1.3 Non Stationary Random Processes Extensions: - Various Evolutive Spectra Definitions -Parametric Models for Non-Stationary Signals -Parameter Estimation in the Non-Stationary framework 2 Recent Advances of the methods 3 Selected Applications Examples 3.1 In Telecommunications 3.2 In Navigation and Positioning 3.3 In Aeronautics Vibrating Structure monitoring 3.4 In Biomedical Signal Processing 3.5 In Radar for Automotive ApplicationsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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