Author(s) : Kenneth E. Barner, Gonzalo R. Arce (Editors) Publisher  : CRC Press; 1 edition Date        : 2003 Pages      : 560 Format     : PDF ISBN        : 0849314275

Book Description
Text details recent advances in nonlinear theory and methods and explores an array of modern signal and image processing applications. DLC: Signal processing - Digital techniques. Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but practical. This book details recent advances in nonlinear theory and methods and explores an array of modern signal and image processing applications. The first several chapters focus on nonlinear signal processing theory, targeting three critical areas: filter analysis, nonlinear filter class design, and signal analysis. The remaining chapters explore nonlinear approaches across the broad spectrum of applications with signal processing components, from data traffic modeling and image enhancement to cutting edge applications in genomics. All of the chapters were contributed by well-known theorists and application-driven researchers who explore current and emerging nonlinear methods from their theoretical background and practical algorithms through the potential of these methods for solving important open questions. Nonlinear Signal and Image Processing: Theory, Methods, and Applications thus provides a singular opportunity to build a strong, fundamental understanding of nonlinear theory and methods and a foundation upon which to approach many of today's most interesting and challenging signal processing problems.

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Author(s) : Paul Muller Publisher : Springer Date        : 2007 Pages      : 192 Format     : PDF ISBN-10   : 1402059116 ISBN-13   : 978-1402059117

Book Description
While the throughput of microprocessor systems tends to increase as a result of ongoing technology scaling and the advent of multi-core systems, the off-chip I/O communication bandwidth emerges as one of the potential bottlenecks that limit overall performance. In order to alleviate the communication speed constraints, optical data communication interfaces move ever closer to the processor core. It is widely expected that future generation digital systems will increasingly rely on chip-to-chip and board-to-board optical data communications for higher bandwidth and better noise immunity.

This book focuses on optical communications for short and very short distance applications and discusses the monolithic integration of optical receivers with processing elements in standard CMOS technologies. CMOS Multi-Channel Single-Chip Receivers for Multi-Gigabit Optical Data Communications provides the reader with the necessary background knowledge to fully understand the trade-offs in short-distance communication receiver design and presents the key issues to be addressed in the development of such receivers in CMOS technologies. Moreover, novel design approaches are presented. A system-level design methodology allows for the impact analysis of different block specifications and system-wide design optimization. Statistical models are used for design space exploration in the scope of jitter tolerance analysis of clock recovery circuits.

CMOS Multi-Channel Single-Chip Receivers for Multi-Gigabit Optical Data Communications is required reading for practicing engineers and researchers in the field of short-distance optical communications and optical CMOS receiver design.

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