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Auteur Sadasivan Puthusserypady |
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Titre : Applied signal processing Type de document : Guide/Manuel Auteurs : Sadasivan Puthusserypady, Auteur Editeur : Boston, Delft : Now publishers Année de publication : 2021 Collection : *NowOpen* Importance : 550 p. ISBN/ISSN/EAN : 978-1-68083-979-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] convolution (signal)
[Termes IGN] filtrage du signal
[Termes IGN] modulation de fréquence
[Termes IGN] série de Fourier
[Termes IGN] signal aléatoire
[Termes IGN] transformation de Fourier
[Termes IGN] transformation de HilbertRésumé : (éditeur) Being an inter-disciplinary subject, Signal Processing has application in almost all scientific fields. Applied Signal Processing tries to link between the analog and digital signal processing domains. Since the digital signal processing techniques have evolved from its analog counterpart, this book begins by explaining the fundamental concepts in analog signal processing and then progresses towards the digital signal processing. This will help the reader to gain a general overview of the whole subject and establish links between the various fundamental concepts. While the focus of this book is on the fundamentals of signal processing, the understanding of these topics greatly enhances the confident use as well as further development of the design and analysis of digital systems for various engineering and medical applications. Applied Signal Processing also prepares readers to further their knowledge in advanced topics within the field of signal processing. Note de contenu : 1- Introduction
2- Power and Energy
3- Fourier series
4- Fourier transform
5- Complex signals
6- Analog systems
7- Sampling and digital signals
8- Transform of discrete time signals
9- Fourier spectra of discrete-time signals
10- Digital systems
11- Implementation of digital systems
12- Discrete Fourier transform
13- Fast Fourier transform
14- Design of digital filters
15- Random signals
16- Modulation
17- Power Spectrum EstimationNuméro de notice : 28562 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Manuel de cours DOI : 10.1561/9781680839791 En ligne : http://dx.doi.org/10.1561/9781680839791 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97593
