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Description

Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far beyond those of just few years ago. Nonlinear, adaptive methods for signal processing have emerged to provide better array gain performance, however, they lack the robustness of conventional algorithms. The challenge remains to develop a concept that exploits the advantages of both-a scheme that integrates these methods in practical, real-time systems.

The Advanced Signal Processing Handbook helps you meet that challenge. Beyond offering an outstanding introduction to the principles and applications of advanced signal processing, it develops a generic processing structure that takes advantage of the similarities that exist among radar, sonar, and medical imaging systems and integrates conventional and nonlinear processing schemes.

Reviews

"…published to assist the development of a scheme that integrates nonlinear, adaptive methods with real-time systems. The book takes advantage of the similarities among radar, sonar and medical imaging systems and integrates conventional and nonlinear processing schemes."

-IEEE Signal Processing, November 2001

Contents

Signal Processing Concepts Similarities Among Sonar, Radar, and Medical Imaging Systems, Stergios Stergiopoulos

Adaptive Systems for Signal Process, Simon Haykin

Gaussian Mixtures and Their Applications to Signal Processing, Kostantinos N. Plataniotis and Dimitris Hatzinakos

Matched Field Processing, A Blind System Identification Technique, N. Ross Chapman, Reza M. Dizaji, and R. Lynn Kirlin

Model-Based Ocean Acoustic Signal Processing, James V. Candy and Edmund J. Sullivan

Advanced Beamformers, Stergios Stergiopoulos

Advanced Applications of Volume Visualization Methods in Medicine, Georgios Sakas, Grigoris Karangelis, and Andreas Pommert

Target Tracking, Wolfgang Koch

Target Motion Analysis (TMA), Klaus Becker

Sonar Systems, G. Clifford, Sanjay K. Mehta, and Bernard E. Mc Taggart

Theory and Implementation of Advanced Signal Processing for Active and Passive Sonar Systems, Stergios Stergiopoulos and Geoffrey Edelson

Phased Array Radars, Nikoloas Uzunoglu

Medical Ultrasonic Imaging Systems, John M. Reid

Basic Principles and Applications of 3-D Ultrasound Imaging, Aaron Fenster

Industrial Computed Tomographic Imaging, Harry E. Martz, Jr. and Daniel J. Schneberk

Organ Motion Effects in Medical CT Imaging Applications, Ian Cunningham, Stergios Stergiopoulos, and Amar Dhanantwari

Magnetic Resonance Tomography,-Imaging with a Nonlinear System, Arnulf Oppelt

Functional Imaging of Tissues by Kinetic Modeling of Contrast Agents in MRI, Frank S. Prato, Charles A. Mc Kenzie, Rebecca E. Thornhill, Rebecca E. Thornhill, and Gerald R. Moran

Medical Image Registration and Fusion Techniques: A Review, George K. Matsopoulos, Konstantinos K. Delibasis, and Nikolaos A. Mouravlinsky

The Role of Imaging in Radiotherapy Treatment Planning, Dimos Baltas, Natasa Milickovic, Christos Kolotas, and Nikolaos Zamboglou

Name: Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real Time Systems (eBook)CRC Press 
Description: Edited by Stergios StergiopoulosSeries Editor: Richard C. DorfContributors: Bernard E. McTaggart, Konstantinos N. Plataniotis, Nicolaos Mouravliansky, Dimitrios Hatzinakos, R. Lynn Kirlin, Grigoris Karangelis, Andreas Pommert, Sanjay Meta, Aaron Fenster, Donal Downey, Charles A. McKenzie, Rebecca Thornhill, Gerald Moran, George Mastsopoulos, Konstantinos K. Delibasis, Nikolaos ZamboglOU, Christos Kolotas, Natasa Milickovic, George K. Matsopoulos, Nikolaos Zamboglou, Alexander D. Poularikas, James V. Candy, Georgios Sakas, Nikolaos Uzunoglu, Frank Prato, Harry E. Martz, N. Ross Chapman, James Ward, Ting-Yim Lee, Edmund Sullivan, Arnulf Oppelt, Wolfgang Koch, Klaus Becker, Geoff Edelson, John M. Reid, Andreas Antoniou, Ian Cunningham, Cliff Carter, Pan Agathoklis, Simon Haykin, Reza M. Dizaji. Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far beyond those of just few years ago. Nonlinear, adaptive methods for signal processing have emerged to provide better...
Categories: Digital Signal Processing, Electrical & Electronic Engineering