Digital Signal Processing (DSP): Fundamentals, Techniques and Applications

Juan Zhang, PhD (Editor)
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, China

Series: Lasers and Electro-Optics Research and Technology
BISAC: TEC030000

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$110.00

Volume 10

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Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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The processing of signals or data is one of the cores of the information chain from production to application. More and more signals should be processed digitally in the big data era. Rapid and massive advances in digital signal processing (DSP) technology have been achieved over the past several decades. DSP technology revolutionized the electronics and opto-electronics industries.

DSP technology is almost an all-embracing field and is advancing with each passing day. The classical application areas of DSP such as telecommunications, speech and image processing continue to be the main contributor to its growth.

This book compiles cutting-edge research in several elementary and advanced topics in DSP, focusing on areas such as filter design algorithms, hardware/software techniques, and their applications. This book has a special emphasis on the modeling and design of optical communication filters. Use of well-developed DSP techniques and algorithms to design the wavelength division multiplexing (WDM) devices is a wise use of existing technology. The authors also share several of their thoughts concerning the practical DSP systems. The DSP theory and hardware for obscured object identification, and its applications in the intelligent baggage scanners are introduced systematically.

This book will be helpful for students, researchers and engineers in the DSP fields to understand the basic knowledge and techniques of software, hardware, devices, and systems. (Imprint: Nova)

Preface

Chapter 1. Generalized Distributions, Mittag-Leffler Expansion and Sampling Discontinuous Signals
Michael J. Corinthios (Ecole Polytechnique de Montr¨¦al, Universit¨¦ de Montr¨¦al, Canada)

Chapter 2. Active Contour Models for Image Segmentation of Complex Object Shapes
Shuqun Zhang (College of Staten Island, City University of New York, USA)

Chapter 3. Average Filtering: Theory, Design and Implementation
Davis Montenegro and Javier Gonzalez (Universidad Santo Tom¨¢s, Columbia)

Chapter 4. The Regularized Bandpass Filter
Weidong Chen (Kansas State University, USA)

Chapter 5. Design Aspects of ¦Á-¦Â-¦Ã Tracking Filters
Kenshi Saho (Ritsumeikan University, Japan)

Chapter 6. Digital Signal Model of One-Dimensional Photonic Crystal
Juan Zhang (Shanghai University, China) and Yang Wang (Shanghai Institute of Optics and Fine Mechanics, CAS, China)

Chapter 7. Digital Signal Processing in Inteferometric Optical Interleavers
Juan Zhang and Xiaowei Yang (Shanghai University, China)

Chapter 8. Design of Infinite Impulse Response (IIR) Optical Notch Filter by Digital Signal Processing Method
Juan Zhang, Shanghai University, China, and Xuguang Mao (Hunan University, China)

Chapter 9. Design and Implementation of Low-Pass, High-Pass and Band-Pass Finite Impulse Response (FIR) Filters Using FPGA
Warsame H. Ali and Emmanuel S. Kolawole (Prairie View A&M University, USA)

Chapter 10. The Intelligent Baggage Scanners
Ivan S. Uroukov (University of Glasgow, UK)

Index

Target audience for this book: (1)Graduate students in the electrical engineering and other related fields.(2)Researchers, designers and practicing engineers of digital signal processing software, hardware, devices, and systems.(3) Mathematicians in the discrete-time theory and systems.
Professional groups or institutions:
Chinese Institute of Electronics
SPIE - the international society for optics and photonics
OSA-The Optical Society

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