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Complex networks : a networking and signal processing perspective /

The Up-to-Date Guide to Complex Networks for Students, Researchers, and Practitioners Networks with complex and irregular connectivity patterns appear in biology, chemistry, communications, social networks, transportation systems, power grids, the Internet, and many big data applications. Complex Ne...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Manoj, B. S. (Autor), Chakraborty, Abhishek (Autor), Singh, Rahul (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Prentice Hall, [2018]
Colección:Prentice Hall communications engineering and emerging technologies series.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Complex networks :  |b a networking and signal processing perspective /  |c B.S. Manoj, Abhishek Chakraborty, Rahul Singh. 
246 3 0 |a Networking and signal processing perspective 
264 1 |a Boston :  |b Prentice Hall,  |c [2018] 
264 4 |c ©2018 
300 |a 1 online resource (1 volume) :  |b illustrations 
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504 |a Includes bibliographical references and index. 
520 |a The Up-to-Date Guide to Complex Networks for Students, Researchers, and Practitioners Networks with complex and irregular connectivity patterns appear in biology, chemistry, communications, social networks, transportation systems, power grids, the Internet, and many big data applications. Complex Networks offers a novel engineering perspective on these networks, focusing on their key communications, networking, and signal processing dimensions. Three leading researchers draw on recent advances to illuminate the design and characterization of complex computer networks and graph signal processing systems. The authors cover both the fundamental concepts underlying graph theory and complex networks, as well as current theory and research. They discuss spectra and signal processing in complex networks, graph signal processing approaches for extracting information from structural data, and advanced techniques for multiscale analysis. What makes networks complex, and how to successfully characterize them Graph theory foundations, definitions, and concepts Full chapters on small-world, scale-free, small-world wireless mesh, and small-world wireless sensor networks Complex network spectra and graph signal processing concepts and techniques Multiscale analysis via transforms and wavelets. 
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650 0 |a Computer networks. 
650 0 |a Electric networks. 
650 0 |a Information networks. 
650 0 |a Wireless sensor networks. 
650 2 |a Computer Communication Networks 
650 6 |a Réseaux d'ordinateurs. 
650 6 |a Réseaux électriques (Circuits) 
650 6 |a Réseaux d'information. 
650 6 |a Réseaux de capteurs sans fil. 
650 7 |a Computer networks  |2 fast 
650 7 |a Electric networks  |2 fast 
650 7 |a Graph theory  |x Data processing  |2 fast 
650 7 |a Information networks  |2 fast 
650 7 |a Wireless sensor networks  |2 fast 
700 1 |a Chakraborty, Abhishek,  |e author. 
700 1 |a Singh, Rahul,  |e author. 
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