Download Acoustical Sensing and Imaging by Hua Lee PDF

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 critical advances within the box of method research and sign processing. during this box, the middle parts are actual modeling, mathematical research, formula of picture reconstruction algorithms, functionality assessment, and approach optimization.

Acoustical Sensing and Imaging covers the whole scope of those parts, with an emphasis at the functions of process 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 evaluation of the spatial-frequency spectral assurance Addresses the foremost components of sign processing, reminiscent of the layout of the probing waveforms, snapshot reconstruction algorithms, mistakes relief and elimination, and photograph enhancement Formulates the picture reconstruction algorithms according to the concept that of coherent backward propagation, within the kind of multi-frequency tomography Explains tips on how to increase procedure functionality, together with the correction of quadrature section mistakes sooner than picture reconstruction and enhancement with coherent wavefield facts in the course of the superposition of sub-images provides a number of functions as examples of varied working modalities, illustrating the technical and academic value of the field

Acoustical Sensing and Imaging guarantees a vast appreciation of the layout techniques, research, and improvement of high-performance sensing and imaging platforms.

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Example text

This can be achieved by placing the transmitter at the center of the circular receiver array. With the same integration method, this system is capable of accurately estimating the bearing angle of the reflected waveform. Because the transmitted signal is readily available, the time delay between a received waveform r(t) and transmitted signal T(t) can be estimated by using the double-­integration method in a similar manner. Subsequently, the range distance of the target can be calculated from the time delay.

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.

Fx 33 System Analysis 1/2   1  H −1( f x, f y ; z) = exp  − j 2π  2 − ( f x2 + f y2 ) z λ    0 1 ≥ ( f x2 + f y2 ) λ2 otherwise This also means the reconstruction filter is lowpass with the same cutoff frequency. Then, since the transfer function is phase-only with unity amplitude over the lowpass region, inverting the transfer function is the same as conjugating it, H −1( f x , f y ; z) = H * ( f x , f y ; z) This suggests that the inverse filter designed for image reconstruction is in fact the matched filter and the image formation process is simply matched filtering.

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