Advanced Signal Processing Handbook

Advanced Signal Processing Handbook PDF download for free for understanding theory and implementation of Sonar, Radar, and medical imaging real time systems

Advanced Signal Processing Handbook PDF

PDF NameAdvanced Signal Processing Handbook
Published/Updated On
No. of Pages721
PDF Size50.35 MB
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Advanced Signal Processing Handbook PDF - Overview

Advanced Signal Processing Handbook – 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.

Beyond offering an introduction to the principles and applications of advanced signal processing, Advanced Signal Processing Handbook 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.

Advanced Signal Processing Handbook

Advanced Signal Processing Handbook – Signal Processing Concept Similarities among Sonar, Radar, and Medical Imaging Systems

  • Introduction
  • Overview of a Real-Time System
  • Signal Processor
  • Data Manager and Display Sub-System

SECTION 1- General Topics on Signal Processing
2 – Adaptive Systems for Signal Process

  • The Filtering Problem
  • Adaptive Filters
  • Linear Filter Structures
  • Approaches to the Development of Linear Adaptive Filtering Algorithms
  • Real and Complex Forms of Adaptive Filters
  • Nonlinear Adaptive Systems: Neural Networks
  • Applications
  • Concluding Remarks

3 – Gaussian Mixtures and Their Applications to Signal Processing

  • Introduction
  • Mathematical Aspects of Gaussian Mixtures
  • Methodologies for Mixture Parameter Estimation
  • Computer Generation of Mixture Variables
  • Mixture Applications
  • Concluding Remarks

4 – Matched Field Processing – A Blind System Identification Technique

  • Introduction
  • Blind System Identification
  • Cross-Relation Matched Field Processor
  • Time-Frequency Matched Field Processor
  • Higher Order Matched Field Processors
  • Simulation and Experimental Examples

5 – Model-Based Ocean Acoustic Signal Processing

  • Introduction
  • Model-Based Processing
  • State-Space Ocean Acoustic Forward Propagators
  • Ocean Acoustic Model-Based Processing Applications
  • Summary

6 – Advanced Beamformers

  • Introduction
  • Background
  • Theoretical Remarks
  • Optimum Estimators for Array Signal Processing
  • Advanced Beamformers
  • Implementation Considerations
  • Concept Demonstration: Simulations and Experimental Results
  • Conclusion

7 – Advanced Applications of Volume Visualization Methods in Medicine

  • Volume Visualization Principles
  • Applications to Medical Data
  • Appendix Principles of Image Processing: Pixel Brightness Transformations, Image Filtering and Image Restoration

8 – Target Tracking Wolfgang Koch

  • Introduction
  • Discussion of the Problem
  • Statistical Models
  • Bayesian Track Maintenance
  • Suboptimal Realization
  • Selected Applications

9 – Target Motion Analysis (TMA)

  • Introduction
  • Features of the TMA Problem
  • Solution of the TMA Problem
  • Conclusion

SECTION 2 Sonar and Radar System Applications
10 – Sonar Systems

  • Introduction
  • Underwater Propagation
  • Underwater Sound Systems: Components and Processes
  • Signal Processing Functions
  • Advanced Signal Processing
  • Application

11 – Theory and Implementation of Advanced Signal Processing for Active and Passive Sonar Systems

  • Introduction
  • Theoretical Remarks
  • Real Results from Experimental Sonar Systems
  • Conclusion

12 – Phased Array Radars

  • Introduction
  • Fundamental Theory of Phased Arrays
  • Analysis and Design of Phased Arrays
  • Array Architectures
  • Conclusion

SECTION 3 Medical Imaging System Applications
13 – Medical Ultrasonic Imaging Systems

  • Introduction
  • System Fundamentals
  • Tissue Properties’ Influence on System Design
  • Imaging Systems
  • Conclusion

14 – Basic Principles and Applications of 3-D Ultrasound Imaging

  • Introduction
  • Limitations of Ultrasonography Addressed by 3-D Imaging
  • Scanning Techniques for 3-D Ultrasonography
  • Reconstruction of the 3-D Ultrasound Images
  • Sources of Distortion in 3-D Ultrasound Imaging
  • Viewing of 3-D Ultrasound Images
  • 3-D Ultrasound System Performance
  • Use of 3-D Ultrasound in Brachytherapy
  • Trends and Future Developments

15 – Industrial Computed Tomographic Imaging

  • Introduction
  • CT Theory and Fundamentals
  • Selected Applications
  • Summary
  • Future Work

16 – Organ Motion Effects in Medical CT Imaging Applications

  • Introduction
  • Motion Artifacts in CT
  • Reducing Motion Artifacts
  • Reducing Motion Artifacts by Signal Processing – A Synthetic Aperture Approach
  • Conclusions

17 – Magnetic Resonance Tomography – Imaging with a Nonlinear System

  • Introduction
  • Basic NMR Phenomena
  • Relaxation
  • NMR Signal
  • Signal-to-Noise Ratio
  • Image Generation and Reconstruction
  • Selective Excitation
  • Pulse Sequences
  • Influence of Motion
  • Correction of Motion During Image Series
  • Imaging of Flow
  • MR Spectroscopy
  • System Design Considerations and Conclusions
  • Conclusion

18 – Functional Imaging of Tissues by Kinetic Modeling of Contrast Agents in MRI

  • Introduction
  • Contrast Agent Kinetic Modeling
  • Measurement of Contrast Agent Concentration
  • Application of T1 Farm to Bolus Tracking
  • Summary

19 – Medical Image Registration and Fusion Techniques: A Review

  • Introduction
  • Medical Image Registration
  • Medical Image Fusion
  • Conclusions

Advanced Signal Processing Handbook CH -20 – The Role of Imaging in Radiotherapy Treatment Planning

  • Introduction
  • The Role of Imaging in the External Beam Treatment Planning
  • Introduction to Imaging Based Brachytherapy
  • Conclusion

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