MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB, the authors provide a comprehensive introduction to the theory and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB programs to simulate the various techniques on MIMO-OFDM systems.
MIMO-OFDM Wireless Communications with MATLAB is a key text for graduate students in wireless communications. Professionals and technicians in wireless communication fields, graduate students in signal processing, as well as senior undergraduates majoring in wireless communications will find this book a practical introduction to the MIMO-OFDM techniques.
Instructor materials and MATLAB code examples available for download at www.wiley.com/go/chomimo
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Yong Soo Cho is a Professor of Electronic Engineering at Chung-Ang University in Seoul, Korea. He has taught OFDM for 10 years and MIMO for 5. His research interests are in the areas of digital communication, digital signal processing, and FPGA Implementation. Cho has held positions at LG Electronics, the ETRI Mobile Communication Group, the WiBro Project Group, and was Chairman of the Wireless Access Working Group in Korea. He holds a BS from Chung-Ang University, an MS from Yonsei University, and a PhD from the University of Texas at Austin, all in electronic engineering.
Jaekwon Kim is an Assistant Professor of Computer and Telecommunications Engineering at Yonsei University. Prior to that he worked at Samsung Advanced Institute of Technology with the 4G System Team. He holds a BS and MS from Chung-Ang University and a PhD from the University of Texas at Austin, all in electronic engineering.
Won Y. Yang is a Professor of Electronic Engineering at Chung-Ang University. He has written two books on MATLAB in English, and two in Korean. Yang holds a BS and MS in Electrical Engineering from Seoul National University, an MS in Applied Math and a PhD in Electrical Engineering from the University of Southern California.
Chung Gu Kang is a Professor of Radio Communication and Engineering at Korea University. Previous work experience inlcudes time in the US spent at the Aerospace Corporation and Rockwell International, where he worked on telecommunications systems development. He was also a Visiting Associate Professor at the UC San Diego. His research interests are focesed on the cross layer design issues for MIMO/multiple access schemes for mobile broadband wireless access systems and MAC/routing protocols for mobile ad hoc networks. Kang holds a BS from UC San Diego and an MS and PhD in Electrical Engineering and Computer Engineering from UC Irvine.
MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, the authors provide a comprehensive introduction to the theory and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems.
MIMO-OFDM Wireless Communications with MATLAB® is a key text for graduate students in wireless communications. Professionals and technicians in wireless communication fields, graduate students in signal processing, as well as senior undergraduates majoring in wireless communications will find this book a practical introduction to the MIMO-OFDM techniques.
Instructor materials and MATLAB® code examples available for download at www.wiley.com/go/chomimo
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Condición: New. MIMO-OFDM Wireless Communications with MATLAB is comprised of three main sections. The first introduces wireless channel modeling with MATLAB, covering the characteristics of wireless channels, SISO and MIMO channel modeling. Num Pages: 456 pages, Illustrations. BIC Classification: TJKW. Category: (P) Professional & Vocational. Dimension: 252 x 174 x 29. Weight in Grams: 932. . 2010. 1st Edition. Hardcover. . . . . Nº de ref. del artículo: V9780470825617
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