Overview

Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form. Encompassing essential background material, technical details, standards, and software, the second edition reflects cutting-edge information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with standards ranging from WiMax to MP3 audio, low-power/high-performance DSPs, color image processing, and chips on video. Drawing on the experience of leading engineers, researchers, and scholars, the three-volume set contains 29 new chapters that address multimedia and internet technologies, tomography, radar systems, architecture, standards, and future applications in speech, acoustics, video, radar, and telecommunications. This volume, Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing, provides complete coverage of the foundations of signal processing related to wireless, radar, space--time coding, and mobile communications, together with associated applications to networking, storage, and communications.

Full Product Details

Author:   Vijay Madisetti (Georgia Institute of Technology, Atlanta, USA)
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Dimensions:   Width: 17.80cm , Height: 4.30cm , Length: 25.40cm
Weight:   1.790kg
ISBN:  

9781420046045

ISBN 10:   1420046047
Pages:   874
Publication Date:   20 November 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

SENSOR ARRAY PROCESSING. Complex Random Variables and Stochastic Processes. Beamforming Techniques for Spatial Filtering. Subspace-Based Direction-Finding Methods. ESPRIT and Closed-Form 2D Angle Estimation with Planar Arrays. A Unified Instrumental Variable Approach to Direction Finding in Colored Noise Fields. Electromagnetic Vector-Sensor Array Processing. Subspace Tracking. Detection: Determining the Number of Sources. Array Processing for Mobile Communications. Beamforming with Correlated Arrivals in Mobile Communications. Peak-to-Average Power Ratio Reduction. Space-Time Adaptive Processing for Airborne Surveillance Radar. NONLINEAR AND FRACTAL SIGNAL PROCESSING. Chaotic Signals and Signal Processing. Nonlinear Maps. Fractal Signals. Morphological Signal and Image Processing. Signal Processing and Communication with Solitons. Higher-Order Spectral Analysis. DSP SOFTWARE AND HARDWARE. Introduction to the TMS320 Family of Digital Signal Processors. Rapid Design and Prototyping of DSP Systems. Baseband Processing Architectures for SDR. Software-Defined Radio for Advanced Gigabit Cellular Systems. ADVANCED TOPICS IN DSP FOR MOBILE SYSTEMS. OFDM: Performance Analysis and Simulation Results for Mobile Environments. Space–Time Coding and Application in WiMAX. Exploiting Diversity in MIMO-OFDM Systems for Broadband Wireless Communications. OFDM Technology: Fundamental Principles, Transceiver Design, and Mobile Applications. Space–Time Coding. A Multiplexing Approach to the Construction of High-Rate Space–Time Block Codes. Soft-Output Detection of Multiple-Input Multiple-Output Channels. Lattice Reduction–Aided Equalization for Wireless Applications. Overview of Transmit Diversity Techniques for Multiple Antenna Systems. RADAR SYSTEMS. Radar Detection. Radar Waveforms. High Resolution Tactical Synthetic Aperture Radar. ADVANCED TOPICS IN VIDEO AND IMAGE PROCESSING. 3D Image Processing. INDEX.

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Author Information

Vijay K. Madisetti is a professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology in Atlanta. He teaches graduate and undergraduate courses in digital signal processing and computer engineering, and leads a strong research program in digital signal processing, telecommunications, and computer engineering. Dr. Madisetti received his BTech (Hons) in electronics and electrical communications engineering in 1984 from the Indian Institute of Technology, Kharagpur, India, and his PhD in electrical engineering and computer sciences in 1989 from the University of California at Berkeley. He has authored or edited several books in the areas of digital signal processing, computer engineering, and software systems, and has served extensively as a consultant to industry and the government. He is a fellow of the IEEE and received the 2006 Frederick Emmons Terman Medal from the American Society of Engineering Education for his contributions to electrical engineering.

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