Signal Processing for Mobile Communications Handbook

Discuss topics that include 4-G mobile communication challenges, adaptive coded modulation, channel modeling, estimation and identification, diversity combining and adaptive equalization, multi-user detection, DSP for OFDM, and synchronization. This book explores techniques such as neural networks, and Markov Chain Monte Carlo (MCMC) methods.

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.