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
Underwater Signal Parameter Detection and Estimation
Acoustic Sensor Unit
Normalization and Optimization
Linear Coherent Systems
Fresnel and Fraunhofer Approximation
Resolution Analysis of Discrete Arrays
Acoustical Imaging Applications
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
Hua Lee earned his BS from the National Taiwan University in 1974, and MS and Ph.D from the University of California, Santa Barbara (UCSB), in 1978 and 1980, respectively. He returned to UCSB in 1990, and is currently a professor in the Electrical and Computer Engineering Department. Prior to his return to UCSB, he was on the faculty of the University of Illinois at Urbana-Champaign. His research interests cover the areas of imaging system optimization, high-performance image formation algorithms, synthetic aperture radar and sonar systems, acoustic microscopy, microwave nondestructive evaluation, terahertz imaging, tomographic ground-penetrating radar imaging, and reconfigurable sensing systems.
"This book is a succinct well written book summarizing the various mathematical approaches to acoustical sensing and imaging."
—Noise Control Engineering Journal, September/October 2016