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Reliability Investigation of LED Devices for Public Light Applications

Durability, Robustness and Reliability of Photonic Devices Set

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Aerospace Actuators 2

Signal-by-Wire and Power-by-Wire

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Flash Memory Integration

Performance and Energy Considerations

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Mechanics of Aeronautical Solids, Materials and Structures

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Engineering Investment Process

Making Value Creation Repeatable

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Space Strategy

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Distributed Systems

Concurrency and Consistency

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Fatigue of Textile and Short Fiber Reinforced Composites

Durability and Ageing of Organic Composite Materials Set – Volume 1

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Management of the Effects of Coastal Storms

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Computational Color Science

Variational Retinex-like Methods

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Spectral Analysis

Parametric and Non-Parametric Digital Methods

Edited by Francis Castanié, ENSEEIHT, Toulouse, France

ISBN: 9781905209057

Publication Date: May 2006   Hardback   264 pp.

190.00 USD

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In signal processing, the concepts of frequency, which are usually referred to as “spectral” concepts, are omnipresent. The transition from analog methods to the use of digital tools in spectral analysis was first achieved by simple adaptation of the classical analog tools which had previously been used for a long time. However, beyond the simple quest for methods with better frequency resolution, it has been possible to develop specific digital tools based on parametric modeling.
This book deals with these parametric methods, first discussing those based on time series models, Capon’s method and its variants, and then estimators based on the notions of sub-spaces. However, it also deals with the traditional “analog” methods, now called non-parametric methods, which are still the most widely used in practical spectral analysis, thus providing a comprehensive overview which will be of great interest to anyone involved in this subject.


Part I: Tools for spectral analysis
1. Fundamentals, Francis Castanié.
2. Digital processing of signals, Eric Le Carpentier.
3. Estimation in spectral analysis, Olivier Besson and André Ferrari.
4. Time-series models, Francis Castanié.
Part II: Non-parametric methods
5. Non-parametric methods, Eric Le Carpentier.
Part III: Parametric methods
6. Modeling of stationary time series, Corinne Mailhes and Francis Castanié.
7. Minimum variance, Nadine Martin.
8. Sub-space based estimators, Sylvie Marcos.
9. Spectral analysis of random non-stationary signals, Corinne Mailhes and Francis Castanié.

About the Authors

Francis Castanié is the Director of the Research Laboratory Telecommunications for Space and Aeronautics (TeSA). He joined the CNRS Institut de Recherche en Informatique de Toulouse (IRIT) in 2002, where he heads the Signal and Communication Group.


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