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. 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.

6.7 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 Becker -- 9.1 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 -- 11.4 Conclusion -- 12 Phased Array Radars Nikolaos Uzunoglu -- 12.1 Introduction -- 12.2 Fundamental Theory of Phased Arrays -- 12.3 Analysis and Design of Phased Arrays -- 12.4 Array Architectures -- 12.5 Conclusion -- SECTION III Medical Imaging System Applications -- 13 Medical Ultrasonic Imaging Systems -- 13.1 Introduction -- 13.2 System Fundamentals -- 13.3 Tissue Properties' Influence on System Design -- 13.4 Imaging Systems -- 13.5 Conclusion -- 14 Basic Principles and Applications of 3-D Ultrasound Imaging -- 14.1 Introduction -- 14.2 Limitations of Ultrasonography Addressed by 3-D Im aging -- 14.3 Scanning Techniques for 3-D Ultrasonography

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and modern neural networks. This text is an expanded version of a graduate course on advanced signal processing at the Johns Hopkins University Whiting school program for professionals with students from electrical engineering, physics, computer and data science, and mathematics backgrounds. It covers the theory underlying applications in statistical signal processing including spectral estimation, linear prediction, adaptive filters, and optimal processing of uniform spatial arrays. Unique among books on the subject, it also includes a comprehensive introduction to modern neural networks with examples in time series and image classification. Coverage includes: Mathematical structures of signal spaces and matrix factorizations linear time-invariant systems and transforms Least squares filters Random variables, estimation theory, and random processes Spectral estimation and autoregressive signal models linear prediction and adaptive filters Optimal processing of linear arrays Neural networks

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.

Provides a detailed treatment of the concepts and applications of advanced digital signal processing.

FROM THE PREFACE: Many new useful ideas are presented in this handbook, including new finite impulse response (FIR) filter design techniques, half-band and multiplierless FIR filters, interpolated FIR (IFIR) structures, and error spectrum shaping.

Noise cancellation is particularly important in the new mobile communications field, with respect to background noise and acoustic interference in moving vehicles. This comprehensive text develops a coherent and structured presentation of a broad range of the theory and application of statistical signal processing, with emphasis on digital noise reduction algorithms. Other applications covered are spectral estimation, channel equalisation, speech coding over noisy channels, speech recognition in adverse environments, active noise control, echo cancellation, restoration of lost filters, and adaptive notch filters.