Advanced signal processing handbook : theory and implementation for radar, sonar, and medical imaging real time systems

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Content: Cover Half Title Title Copyright Preface Editor Contributors Dedication Contents 1 Signal Processing Concept Similarities among Sonar, Radar, and Medical Imaging Systems Stergios Stergiopoulos 1.1 Introduction 1.2 Overview o f a Real-Time System 1.3 Signal Processor 1.4 Data Manager and Display Sub-System SECTION I General Topics on Signal Processing 2 Adaptive Systems for Signal Process Simon Haykin 2.1 The Filtering Problem 2.2 Adaptive Filters 2.3 Linear Filter Structures 2.4 Approaches to the Development o f Linear Adaptive Filtering Algorithms 2.5 Real and Complex Forms o f Adaptive Filters2.6 Nonlinear Adaptive Systems: Neural Networks 2.7 Applications 2.8 Concluding Rem arks 3 Gaussian Mixtures and Their Applications to Signal Processing Kostantinos N. Plataniotis and Dimitris Hatzinakos 3.1 Introduction 3.2 Mathematical Aspects of Gaussian Mixtures 3.3 Methodologies for Mixture Parameter Estim ation 3.4 Computer Generation of Mixture Variables 3.5 Mixture Applications 3.6 Concluding Remarks 4 Matched Field Processing -- A Blind System Identification Technique 4 .1 Introduction 4.2 Blind System Identification 4.3 Cross-Relation Matched Field Processor4.4 Time-Frequency Matched Field Processor 4.5 Higher Order Matched Field Processors 4.6 Simulation and Experimental Examples 5 Model-Based Ocean Acoustic Signal Processing 5.1 Introduction 5.2 Model-Based Processing 5.3 State-Space Ocean Acoustic Forward Propagators 5.4 Ocean Acoustic Model-Based Processing Applications 5.5 Summary 6 Advanced Beamformers Stergios Stergiopoulos 6.1 Introduction 6.2 Background 6.3 Theoretical Remarks 6.4 Optimum Estimators for Array Signal Processing 6.5 Advanced Beamformers 6.6 Implementation Considerations6.7 Concept Demonstration: Simulations and Experimental Results 6.8 Conclusion 7 Advanced Applications of Volume Visualization Methods in Medicine 7.1 Volume Visualization Principles 7.2 Applications to Medical Data Appendix Principles of Image Processing: Pixel Brightness Transformations, Image Filtering and Image Restoration 8 Target Tracking Wolfgang Koch 8.1 Introduction 8.2 Discussion of the Problem 8.3 Statistical Models 8.4 Bayesian Track Maintenance 8.5 Suboptimal Realization 8.6 Selected Applications 9 Target Motion Analysis (TMA) Klaus Becker9.1 Introduction 9.2 Features of the TMA Problem 9.3 Solution of the TMA Problem 9.4 Conclusion SECTION II Sonar and Radar System Applications 10 Sonar Systems 10.1 Introduction 10.2 Underwater Propagation 10.3 Underwater Sound Systems: Components and Processes 10.4 Signal Processing Functions 10.5 Advanced Signal Processing 10.6 Application 11 Theory and Implementation of Advanced Signal Processing for Active and Passive Sonar Systems 11.1 Introduction 11.2 Theoretical Remarks 11.3 Real Results from Experimental Sonar Systems