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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 approach research and sign processing. during this box, the center elements are actual modeling, mathematical research, formula of photograph reconstruction algorithms, functionality overview, and method optimization.

Acoustical Sensing and Imaging covers the complete scope of those elements, with an emphasis at the functions of approach 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, accomplishing the research during the quantitative evaluate 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 snapshot enhancement Formulates the picture reconstruction algorithms according to the idea that of coherent backward propagation, within the type of multi-frequency tomography Explains easy methods to increase method functionality, together with the correction of quadrature part error ahead of photograph reconstruction and enhancement with coherent wavefield information through 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 extensive appreciation of the layout thoughts, research, and improvement of high-performance sensing and imaging platforms.

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Additional resources for Acoustical Sensing and Imaging

Example text

For simplicity, the impulse functions and plane waves are first analyzed. 1 Impulse Functions The impulse function is typically introduced as a time function in signal analysis and processing, in the form of ∞ δ(t) =  0 t=0 otherwise 23 24 Acoustical Sensing and Imaging with the normalization formula ∫ δ(t) dt = 1 In the field of imaging, the functions include spatial variables, which is in the form of four-dimensional distributions f(x, y, z; t). So, it is necessary to examine the representations and meanings of impulse functions in the space domain.

Subsequently, matched filtering is performed. Step 5: Integration: The final step is to integrate the combined signal twice. 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.

2 Plane wave with bearing angle θ = 90°. 26 Acoustical Sensing and Imaging wavelength λ. Accordingly, we can represent the wave pattern in the form of  j 2πx  g( x , y ) = A exp   λ  We can also describe it as a coherent pattern with spatial frequency fx = 1/λ. 3. Along the x axis, the period of the single-frequency variation is λ/sin θ, corresponding to the spatial frequency fx = sin θ/λ. If we also examine the distribution along the y axis, we find the period of the coherent wave distribution is λ/cos θ, corresponding to the ­spatial ­frequency f y = cos θ/λ.

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