By Hua Lee
For complicated working modalities and dimensionalities, the layout and improvement of high-performance sensing and imaging structures signify the main direct and critical advances within the box of procedure research and sign processing. during this box, the center elements are actual modeling, mathematical research, formula of picture reconstruction algorithms, functionality overview, and approach optimization.
Acoustical Sensing and Imaging covers the complete scope of those elements, with an emphasis at the functions of method 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, carrying out the research in the course of the quantitative review of the spatial-frequency spectral insurance Addresses the main components of sign processing, equivalent to the layout of the probing waveforms, photograph reconstruction algorithms, errors relief and elimination, and picture enhancement Formulates the picture reconstruction algorithms in response to the idea that of coherent backward propagation, within the type of multi-frequency tomography Explains tips to increase process functionality, together with the correction of quadrature part mistakes ahead of photo reconstruction and enhancement with coherent wavefield statistics in the course of the superposition of sub-images provides numerous functions as examples of assorted working modalities, illustrating the technical and academic importance of the field
Acoustical Sensing and Imaging guarantees a huge appreciation of the layout ideas, research, and improvement of high-performance sensing and imaging structures.
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Extra info for Acoustical Sensing and Imaging
The result is a complex number α + jβ, of which the real and imaginary parts are the first two directional cosines. 5 Active Modality In this chapter, a simple technique was presented for bearing-angle estimation for UUV underwater geolocation and navigation. The algorithm was originally designed as the replacement for the conventional peak-phase approach for the systems with twin transmission waveforms and the polarity of 180° phase offset. The accuracy, stability, and especially the simplicity of 22 Acoustical Sensing and Imaging this algorithm made the system, in both hardware and software, significantly more effective.
6 shows the mathematical model of wave propagation in the form of Fraunhofer approximation. 4 Holographic Imaging The objective of this section is, through the presentation of the classical holography, to illustrate the importance of the use of reference waves for data acquisition and the role of the phase information for image reconstruction. 45 System Analysis Illuminating from the object, the complex wavefield observed at the viewing position is in the form of Object beam = [U o (x , y ) exp(jφ( x , y ))] exp(− jωt) where Uo(x,y) and exp(jϕ(x,y)) are the magnitude and phase component of the wavefield, and exp(−jωt) is the temporal carrier of the propagating acoustic waves.
In order to improve the resolution of the system, one approach is to perform a rotational scan to generate additional coverage of the spectral content, which can be achieved by rotating either the data-acquisition system or object specimen. Because Fourier transformation is rotation invariant, as the object rotates, the spectral distribution of the object function also rotates accordingly. Therefore, the rotational scan enables us to collect a sequence of semicircular spectral components from various angles and form a circular spectral patch through tomographic superposition.