Librería Portfolio

Features

Describes the design and development of high-performance sensing and imaging systems
Demonstrates the applications of system analysis and signal processing in acoustical sensing and imaging
Discusses physical modeling, mathematical analysis, formulation of image reconstruction algorithms, performance evaluation, and system optimization
Summary

For complex operating modalities and dimensionalities, the design and development of high-performance sensing and imaging systems represent the most direct and significant advances in the field of system analysis and signal processing. In this field, the core components are physical modeling, mathematical analysis, formulation of image reconstruction algorithms, performance evaluation, and system optimization.

Acoustical Sensing and Imaging covers the full scope of these components, with an emphasis on the applications of system analysis and signal processing in acoustical sensing and imaging.

Providing a unified theoretical framework, this book:

Focuses on the resolution analysis in the physical modeling of the systems, conducting the analysis through the quantitative assessment of the spatial-frequency spectral coverage
Addresses the key elements of signal processing, such as the design of the probing waveforms, image reconstruction algorithms, error reduction and removal, and image enhancement
Formulates the image reconstruction algorithms based on the concept of coherent backward propagation, in the form of multi-frequency tomography
Explains how to improve system performance, including the correction of quadrature phase errors prior to image reconstruction and enhancement with coherent wavefield statistics during the superposition of sub-images
Presents several applications as examples of various operating modalities, illustrating the technical and educational significance of the field
Acoustical Sensing and Imaging ensures a broad appreciation of the design concepts, analysis, and development of high-performance sensing and imaging systems.



Table of Contents

Introduction

Underwater Signal Parameter Detection and Estimation
Acoustic Sensor Unit
Direct-Integration Method
Normalization and Optimization
Reversed Configuration
Active Modality

System Analysis
Linear Coherent Systems
Backward Propagation
Fresnel and Fraunhofer Approximation
Holographic Imaging
Diffraction Tomography
Resolution Analysis of Discrete Arrays

Acoustical Imaging Applications
Multi-Frequency Imaging
Pulse-Echo Imaging
Linear-Chirp Signaling
Step-Frequency FMCW Ultrasound Imaging
Chirp Signal and Fresnel Phase Pattern

Resolution Enhancement and Motion Estimation
Quadrature-Receiver Phase Errors and Correction
Resolution Enhancement by Wavefield Statistics
Parameter-Based Motion Estimation
Image-Based Motion Estimation and Imaging