By Hua Lee
For complicated working modalities and dimensionalities, the layout and improvement of high-performance sensing and imaging platforms characterize the main direct and important advances within the box of approach research and sign processing. during this box, the middle parts are actual modeling, mathematical research, formula of snapshot reconstruction algorithms, functionality review, and process optimization.
Acoustical Sensing and Imaging covers the total scope of those parts, with an emphasis at the purposes of approach research and sign processing in acoustical sensing and imaging.
Providing a unified theoretical framework, this book:
Focuses at the solution research within the actual modeling of the structures, engaging in the research throughout the quantitative review of the spatial-frequency spectral assurance Addresses the foremost components of sign processing, akin to the layout of the probing waveforms, photo reconstruction algorithms, blunders relief and removing, and picture enhancement Formulates the picture reconstruction algorithms in accordance with the idea that of coherent backward propagation, within the kind of multi-frequency tomography Explains easy methods to increase approach functionality, together with the correction of quadrature section blunders ahead of picture reconstruction and enhancement with coherent wavefield data in the course of the superposition of sub-images provides numerous functions as examples of assorted working modalities, illustrating the technical and academic value of the field
Acoustical Sensing and Imaging guarantees a vast appreciation of the layout options, research, and improvement of high-performance sensing and imaging platforms.
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Extra resources for Acoustical Sensing and Imaging
This model allows us to apply well-established concepts to the signal analysis and processing in imaging system design and development. As we characterize the data acquisition and image reconstruction as linear systems, it is important to fully formulate the mathematical structure of the process, including the impulse response and transfer function of the systems. This leads to the formulation of the backward-propagation technique as the framework of image formation. In addition, Fresnel and Fraunhofer techniques are introduced as the approximation of the backward-propagation image formation algorithm for the improvement of computation efficiency.
And u is the vector, defined by the locations of the receiver pair. For example, in the horizontal direction, the vector can be written as u = D [1, 0, 0]. Consider the simple case of the circular receiver array with radius D/2 and N uniformly spaced receivers. The N receivers are located at the positions of un = D j 2πn exp N 2 where n = 0, 1, 2, … , N − 1. Utilizing the circular symmetry, the receivers of the N-element array can be grouped into N/2 pairs corresponding to the directional vectors, 2πn 2πn un = D cos ,0 , sin N N where n = 0, 1, 2, … , N/2.
9). 9 Spectral coverage of the transmission-mode and reflection-mode images after full rotational scan. 51 System Analysis operations. These two spectral areas are mutually orthogonal w ithout any overlapping. The spatial-frequency band of the transmission-mode tomographic images lies in the lowpass region, while the reflection mode covers the bandpass domain. Respectively, the point-spread functions of the transmission- and reflection-mode systems are 1 2 2 πr htr (r ) = J1 r λ 1 4πr 1 2 2πr href (r ) = J1 − J r λ r 1 λ where J1 denotes the first-order Bessel function.
Acoustical Sensing and Imaging by Hua Lee