Acoustical Sensing and Imaging by Hua Lee

By Hua Lee

For advanced working modalities and dimensionalities, the layout and improvement of high-performance sensing and imaging structures characterize the main direct and critical advances within the box of procedure research and sign processing. during this box, the middle parts are actual modeling, mathematical research, formula of photo reconstruction algorithms, functionality evaluate, and procedure optimization.

Acoustical Sensing and Imaging covers the total scope of those parts, with an emphasis at the purposes of method research and sign processing in acoustical sensing and imaging.

Providing a unified theoretical framework, this book:

Focuses at the answer research within the actual modeling of the structures, undertaking the research throughout the quantitative review of the spatial-frequency spectral insurance Addresses the major parts of sign processing, resembling the layout of the probing waveforms, photo reconstruction algorithms, errors relief and removing, and snapshot enhancement Formulates the picture reconstruction algorithms in keeping with the concept that of coherent backward propagation, within the kind of multi-frequency tomography Explains the right way to increase process functionality, together with the correction of quadrature part blunders ahead of picture reconstruction and enhancement with coherent wavefield data in the course of the superposition of sub-images provides a number of functions as examples of assorted working modalities, illustrating the technical and academic importance of the field

Acoustical Sensing and Imaging guarantees a extensive appreciation of the layout ideas, research, and improvement of high-performance sensing and imaging structures.

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Sample text

The important feature of this approach is that the convolution integral can be replaced by a Fourier-transformation operation, with a scaling and multiplication process. In addition, we should note that all the steps of the procedure are reversible. This means that we can perform image reconstruction from the wavefield pattern over the receiving aperture through Fourier transformation with the use of Fresnel phase masks. 5 shows the mathematical model of wave propagation through Fresnel approximation.

8 Spectral distribution of the demodulated wavefield of transmission and reflection modes. 50 Acoustical Sensing and Imaging accordingly. When the operating frequency of the diffraction tomographic system approaches infinity, the spectral content of a backward propagated image component from one single projection, especially in the low spatialfrequency region, approaches a linear segment passing through the origin. This means, in terms of the spectral content as well as image formation, the transmission-mode diffraction tomography is approaching the classical case of x-ray tomography as the operating frequency approaches infinity.

The convolution integral, representing the input–output relationship, is known as the Rayleigh–Sommerfeld integral. As described, wave propagation can be considered as a linear and spaceinvariant system, with the source distribution as the input and the resultant wavefield as the output. This model allows us to apply Fourier analysis to the design and development of imaging systems. Now, if we regard the point source as an impulse input into the system, the resultant wavefield patterns given here are therefore the impulse responses of the system, in different dimensions.

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