Acoustical Sensing and Imaging

von Hua Lee

122 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Themen: Technologie, Ingenieurswissenschaft, Landwirtschaft, Industrieprozesse Andere Technologien und verwandte Wissenschaften Akustik und Tontechnik
• ISBN: 9781498725736
• Sprache: Englisch
• Erscheinungsdatum: 17.02.2016
• Größe: 234 x 163 mm
• Verlag: CRC Press