Madisetti V.K. (ed.) The Digital Signal Processing Handbook. Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing

Second Edition. — CRC Press, 2010. — 876 p.Digital signal processing (DSP) is concerned with the theoretical and practical aspects of representing information-bearing signals in a digital form and with using computers, special-purpose hardware and software, or similar platforms to extract information, process it, or transform it in useful ways. Areas where DSP has made a significant impact include telecommunications, wireless and mobile communications, multimedia applications, user interfaces, medical technology, digital entertainment, radar and sonar, seismic signal processing, and remote sensing, to name just a few.
Given the widespread use of DSP, a need developed for an authoritative reference, written by the top experts in the world, that would provide information on both theoretical and practical aspects in a manner that was suitable for a broad audience — ranging from professionals in electrical engineering, computer science, and related engineering and scientific professions to managers involved in technical marketing, and to graduate students and scholars in the field. Given the abundance of basic and introductory texts on DSP, it was important to focus on topics that were useful to engineers and scholars without overemphasizing those topics that were already widely accessible. In short, the DSP handbook was created to be relevant to the needs of the engineering community.
A task of this magnitude could only be possible through the cooperation of some of the foremost DSP researchers and practitioners. That collaboration, over 10 years ago, produced the first edition of the successful DSP handbook that contained a comprehensive range of DSP topics presented with a clarity of vision and a depth of coverage to inform, educate, and guide the reader. Indeed, many of the chapters, written by leaders in their field, have guided readers through a unique vision and perception garnered by the authors through years of experience.
The second edition of the DSP handbook consists of Digital Signal Processing Fundamentals; Video, Speech, and Audio Signal Processing and Associated Standards; and Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing to ensure that each part is dealt with in adequate detail and that each part is then able to develop its own individual identity and role in terms of its educational mission and audience. I expect each part to be frequently updated with chapters that reflect the changes and new developments in the technology and in the field. The distribution model for the DSP handbook also reflects the increasing need by professionals to access content in electronic form anywhere and at anytime.
Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing, as the name implies, provides a comprehensive 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.
This book needs to be continuously updated to include newer aspects of these technologies, and I look forward to suggestions on how this handbook can be improved to serve you better.Part I Sensor Array Processing
Complex Random Variables and Stochastic Processes
Beamforming Techniques for Spatial Filtering
Subspace-Based Direction-Finding Methods
ESPRIT and Closed-Form 2-D 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
Part II 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
Part III 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
Part IV 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
Part V Radar Systems
Radar Detection
Radar Waveforms
High Resolution Tactical Synthetic Aperture Radar
Part VI Advanced Topics in Video and Image Processing
3D Image Processing