Signal Processing for Mobile Communications Handbook. Este artículo no está disponible.
Idioma: inglés
Editorial: CRC Press 2004-08-16, 2004
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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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N° de ref. del artículo 6666-TNFPD-9780849316579
- Título
- Signal Processing for Mobile Communications Handbook
- Autor
- Mohamed Ibnkahla, Wolfgang Schwarz, Jitendra K. Tugnait, Quazi Rahman, Andreas F. Molisch, Giovanni E. Corazza, Bouchra Senadji, Dennis L. Goeckel, Anna Scaglione, Lang Tong, Nguyen Linh-Trung, Giovanni Cherubini, Qing Zhao, Andreas Abel, Boualem Boashash, James J. Caffery Jr., Alan R. Lindsey, Moeness G. Amin, Helmut Bolcskei, Fredrik Tufvesson, Raffaella Pedone, Alessandro Vanelli-Coralli, Ghazem Azemi, Nicholas Bambos, Hisham Naser Al-Asady, Naofal Al-Dhahir, Huseyin Arslan, Stefano Buzzi, Fernando Diaz-De-Maria, Ming Kang, Geert Leus, Marco Luise, Massimo Neri, Noura Sellami, Xiaodong Wang, Hong-Chuan Yang, Mounir Ghogho, Ananthram Swami, Filippo Giannetti, Mohamed-Slim Alouini, Marc Moonen, Mohamed Siala, Jinhong Yuan, Robert Boutros,
- Editorial
- CRC Press 2004-08-16
- Año de publicación
- 2004
- Estado
- New
- Encuadernación
- Hardcover
- Idioma
- inglés
- ISBN 10
- 084931657X
- ISBN 13
- 9780849316579
In recent years, a wealth of research has emerged addressing various aspects of mobile communications signal processing. New applications and services are continually arising, and future mobile communications offer new opportunities and exciting challenges for signal processing. The Signal Processing for Mobile Communications Handbook provides a comprehensive survey of signal processing techniques used in mobile communications that concern the transmitter, the receiver, and the propagation channel. Distinguished contributors discuss a spectrum of topics, including 4-G mobile communication challenges, adaptive coded modulation, channel modeling, estimation and identification, diversity combining and adaptive equalization, multi-user detection, DSP for OFDM, synchronization, and more. Emerging techniques such as neural networks, Markov Chain Monte Carlo (MCMC) methods, time-frequency analysis, and Chaos are also explored. Presented in a tutorial format with hundreds of figures and tables, this handbook makes signal processing as applied to digital communications accessible for all professionals, researchers, and students involved in mobile communications.
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Mohamed Ibnkahla
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