000			nam a22 7a 4500
999			_c26709 _d26709
008			211214b xxu||||| |||| 00| 0 eng d
020			_a9780134788995
040			_cPK-GjGUL
082			_a004.6 _bMAN-C
100			_a Manoj, B. S., Chakraborty,Abhishek; Singh,Rahul
245			_aComplex Networks : a Networking and Signal Processing Perspective
260			_aUSA _bPearson _c2018
300			_axxiv,537 p. _bill. _cM, hbk
500			_aIncludes Index, Bibliography,Acronums & Notation.
520			_aThe 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 Multi scale analysis via transforms and wavelets. Read less
546			_aEng
650			_aComputer networks _vInformation networks
942			_2ddc _cBK