06115cam a22004337i 450000100090000000300050000900500170001400800410003101000170007202000250008902000150011403500220012903700360015104000770018704200140026405000160027807200250029407200170031908200230033610000320035924501180039125000190050926400590052830000300058733600260061733700250064333800230066850400510069150504490074252013240119154527630251558800260527865000300530465000210533465000470535565000560540270000340545877601890549223149490CSPC20250306171930.0211007s2022    flua    o     000 0 eng d  a  2021762634  a9780367542931c(pbk)  z0367542935  a(OCoLC)1273731880  a9781003088554bTaylor & Francis  aTYFRSbengerdaepncTYFRSdOCLCFdTYFRSdOCLCQdOCLCOdOCLCQdDLCdCSPC  alccopycat00aTK5103.4815 7aTECx0080002bisacsh 7aTJKW2bicssc04a621.384bC175s2231 aCaptain, Kamal M.,eauthor.10aSpectrum sensing for cognitive radio :bfundamentals and applications /cKamal M. Captain and Manjunath V. Joshi.  aFirst edition. 1aBoca Raton, FL ;aAbingdon, Oxon :bCRC Press, c2022.  axxvi, 229 pages ;c24 cm.  atextbtxt2rdacontent  aunmediated2rdamedia  avolume2rdacarrier  aIncludes bibliographical references and index.0 aFundamentals of probability theory -- Introduction -- Literature review -- Part I. Narrowband spectrum sensing -- Energy-detection-based spectrum sensing over generalized fading model -- Generalized energy detector in the presence of noise uncertainty and fading -- Part II. Wideband spectrum sensing -- Diversity for wideband spectrum sensing under fading -- Cooperative wideband spectrum sensing -- Conclusions and future research directions.  aThis comprehensive reference text discusses concepts of cognitive radio and the advances in the field of spectrum sensing. This text discusses the concept of cognitive radio for next generation wireless communication and a very critical aspect of cognitive radio - that is, spectrum sensing - in detail. It covers important topics including narrowband spectrum sensing, wideband spectrum sensing, cooperative spectrum sensing, system and channel models, detection algorithms, approximation of decision statistics and theoretical analysis of detection algorithms in detail. Separate chapters are dedicated to discussing the analysis and use of detection algorithms for narrowband spectrum sensing, wideband spectrum sensing and cooperative wideband spectrum sensing. Aimed at graduate students and academic researchers in the fields of electrical engineering and electronics and communication engineering, this text: Discusses concepts of cognitive radio and research in spectrum sensing. Presents mathematical analysis of algorithms considering practical environment. Explains novel wideband spectrum sensing algorithms with detailed analysis. Provides mathematical derivations to help readers. Discusses basic spectrum sensing algorithms from narrowband spectrum sensing to the more advanced wideband spectrum sensing.0 aKAMAL M. CAPTAIN:Dr. Kamal M. Captain received his Ph. D. in the area of Spectrum Sensing for CognitiveRadio from Dhirubhai Ambani Institute of Information and CommunicationTechnology (DAIICT), Gandhinagar, India. Before this, he completed his M. Techin Communication Systems from Sardar Vallabhbhai National Institute of Technology(SVNIT) and B.E degree in Electronics and Communication Engineering fromVeer Narmad South Gujarat University (VNSGU), Surat, Gujarat, India. He is currentlyserving as an assistant professor at Sardar Vallabhbhai National Institute ofTechnology (SVNIT), Surat, Gujarat, India. Prior to joining SVNIT, he served as asenior engineer (signal processing) at eInfochips, Ahmedabad, India. He has beeninvolved in active research in the areas of cognitive radio, wireless communication, signal processing, and machine learning and has several journals and internationalconference papers, including IEEE Transactions. He has also served as a reviewerfor IEEE Transactions, letters, and top tier conferences. MANJUNATH V. JOSHI:Prof. Manjunath V. Joshi received the B.E. degree from the University of Mysore, Mysore, India, and the M. Tech. and Ph. D. degrees from the Indian Institute of TechnologyBombay (IIT Bombay), Mumbai, India. He is currently serving as a Professorand and Dean Research and Development with the Dhirubhai Ambani Instituteof Information and Communication Technology, Gandhinagar, India. He has beeninvolved in active research in the areas of Signal and Image Processing, CognitiveRadio, Computer Vision, and Machine Learning and has several publications in qualityjournals and conferences. He has co-authored four books entitled Motion-FreeSuper Resolution (Springer, New York-2005), Digital Heritage Reconstruction usingSuper-resolution and Inpainting (Morgan and Claypool-2016), Regularization in HyperspectralUnmixing (SPIE Press-2016), and the book entitled Multi-resolution ImageFusion in Remote Sensing (Cambridge University Press, UK-2019). Currently, he is contributing as a co-author of a book to be published by Springer in remotesensing, where seven positive reviews have been received. So far, nine Ph. D. studentshave been graduated under his supervision. Dr. Joshi was a recipient of theOutstanding Researcher Award in Engineering Section by IIT Bombay in 2005 andthe Dr. Vikram Sarabhai Award for 2006-2007 of information technology constitutedby the Government of Gujarat, India. He served as a Program Co-Chair for the 3rdACCVWorkshop on E-Heritage, 2014, held in Singapore. He has also served as VisitingProfessor at IIT Gandhinagar and IIIT Vadodara. He has visited Germany, Italy, France, Hong Kong, the USA, Canada, South Korea, Indonesia and contributed toresearch in his area of expertise.0 aPrint version record. 0aCognitive radio networks. 6aRadio cognitive. 7aTECHNOLOGYxElectronicsxGeneral.2bisacsh 7aCognitive radio networks.2fast0(OCoLC)fst017453591 aJoshi, Manjunath V.,eauthor.08iOnline version:aCAPTAIN, KAMAL M. JOSHI, MANJUNATH V.tSPECTRUM SENSING FOR COGNITIVE RADIO.d[Place of publication not identified] : CRC PRESS, 2021z9781003088554w(OCoLC)1251500191