2nd Edition

Advanced Signal Processing
Theory and Implementation for Sonar, Radar, and Non-Invasive Medical Diagnostic Systems, Second Edition

ISBN 9781138113565
Published June 16, 2017 by CRC Press
750 Pages 631 B/W Illustrations

USD $84.95

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Book Description

Discover the Applicability, Benefits, and Potential of New Technologies

As advances in algorithms and computer technology have bolstered the digital signal processing capabilities of real-time sonar, radar, and non-invasive medical diagnostics systems, cutting-edge military and defense research has established conceptual similarities in these areas. Now civilian enterprises can use government innovations to facilitate optimal functionality of complex real-time systems. Advanced Signal Processing details a cost-efficient generic processing structure that exploits these commonalities to benefit commercial applications.

Learn from a Renowned Defense Scientist, Researcher, and Innovator

The author preserves the mathematical focus and key information from the first edition that provided invaluable coverage of topics including adaptive systems, advanced beamformers, and volume visualization methods in medicine. Integrating the best features of non-linear and conventional algorithms and explaining their application in PC-based architectures, this text contains new data on:

  • Advances in biometrics, image segmentation, registration, and fusion techniques for 3D/4D ultrasound, CT, and MRI
  • Fully digital 3D/ (4D: 3D+time) ultrasound system technology, computing architecture requirements, and relevant implementation issues
  • State-of-the-art non-invasive medical procedures, non-destructive 3D tomography imaging and biometrics, and monitoring of vital signs
  • Cardiac motion correction in multi-slice X-ray CT imaging
  • Space-time adaptive processing and detection of targets interference-intense backgrounds comprised of clutter and jamming

With its detailed explanation of adaptive, synthetic-aperture, and fusion-processing schemes with near-instantaneous convergence in 2-D and 3-D sensors (including planar, circular, cylindrical, and spherical arrays), the quality and illustration of this text’s concepts and techniques will make it a favored reference.

Table of Contents

Signal Processing Concept Similarities among Sonar, Radar and Noninvasive Medical Diagnostic Systems, S. Stergiopoulos
Section I Generic Topics on Signal Processing
Adaptive Systems for Signal Process, S. Haykin
Advanced Beamformers, S. Stergiopoulos
Advanced Applications of Volume Visualization Methods in Medicine, G. Sakas, G. Karangelis and A. Pommert
Medical Image Registration and Fusion Techniques: A Review, G. K. Matsopoulos
Segmentation, Registration and Fusion of Medical Images, M. Erdt
Acoustic Diffraction Computed Tomography Imaging, S. Stergiopoulos, W. A. Younis, J. Grodski and D. Havelock
A Review on Face and Gait Recognition: System, Data and Algorithms, Haiping Lu, Jie Wang and K. N. Plataniotis
Section II Sonar and Radar System Applications
Detection Paradigms for Radar, B. Balaji, M. K. McDonald, and A. Damini
Sonar Systems, G. Clifford Carter, S. K. Mehta and B. E. McTaggart
Theory and Implementation of Advanced Signal Processing for Active and Passive Sonar Systems, S. Stergiopoulos and G. Edelson
Section III Medical Diagnostic System Applications
Digital 3D/4D Ultrasound Imaging Technology, S. Stergiopoulos
Magnetic Resonance Tomography—Imaging with a Nonlinear System, A. Oppelt
Organ Motion Effects in Medical CT Imaging Applications, I. Cunningham, S. Stergiopoulos and A. Dhanantwari
Cardiac Motion Effects in MultiSlice Medical CT Imaging Applications, S. Stergiopoulos and W. A. Younis
NonInvasive Monitoring of Vital Signs and Traumatic Brain Injuries, S. Stergiopoulos, A. Freibert, J. Zhang and D. Hatzinakos
Examination of Contrast Agents in Medical Imaging using Physiologically Constrained Deconvolution, R. Z. Stodilka, B. Lewden, M. Jerosch-Herold, E. Sabondjian, and F.S. Prato
Arterial Spin Labeling: A Magnetic Resonance Imaging Technique for Measuring Cerebral Perfusion, K. St. Lawrence, D. G. Owen and F. S. Prato
Computer Aided Diagnosis in Mammography with Emphasis on Automatic Detection of Microcalcifications, Y. Man Ro, S. Ho Jin and K. N. Plataniotis

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