Wireless communications will play a major role in future communication systems. In fact, the need of wireless access to the Internet will become increasingly important, and novel network communication paradigms, such as ad-hoc wireless networks or integrated mobile/satellite systems, will be developed in the near future. Detection algorithms will play an important role in the design of efficient wireless communication systems as it will be mandatory to adhere to specific constraints in terms of power consumption and detection speed.

• Provides a unified approach to statistical detection for stochastic channels, with particular emphasis on wireless communications
• Shows how algorithms for trellis-based sequence detection can be systematically extended to trellis-based and graph-based symbol detection algorithms and vice-versa
• Contains numerous examples of applications with an extended set of numerical results relative to the algorithms’ performance
• Describes per-survivor processing, a key concept used to implement adaptive detection techniques
• Presents a detailed description of graph-based detection
• Features problems at the end of each chapter

* Includes a companion website featuring a solutions manual, electronic versions of the figures and a sample chapter *

By featuring detection algorithms which can be applied to wireless communications, as well as wired and storage systems such as those relative to transmissions over inter-symbol interference channels, this book will have far reaching appeal. Researchers and practitioners working in wireless and storage system design, both in academia and in industry, will all find it extremely useful.