1991
DOI: 10.1121/1.401277
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New approaches to the linear propagation of acoustic fields

Abstract: New algorithms are described that provide insight into linear field propagation and offer significant reductions in computational complexity. The developments presented here include the usage of a recently developed discrete Hankel transform to implement two single step, planar propagation algorithms for baffled, radially symmetric, acoustic pressure or velocity fields; an update on the single step approaches that reduce computational complexity through geometrically determined spatial frequency limitations; a… Show more

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Cited by 83 publications
(62 citation statements)
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“…In this section, we use the fractional versions of Euler's equation (18) and the entropy equation (29), to obtain a wave equation with fractional derivatives. Following the approximations to the second order 42 of Hamilton and Morfey 32 the fractional Euler's equation (18), can be simplified as follows:…”
Section: Fractional Wave Equationmentioning
confidence: 99%
See 1 more Smart Citation
“…In this section, we use the fractional versions of Euler's equation (18) and the entropy equation (29), to obtain a wave equation with fractional derivatives. Following the approximations to the second order 42 of Hamilton and Morfey 32 the fractional Euler's equation (18), can be simplified as follows:…”
Section: Fractional Wave Equationmentioning
confidence: 99%
“…This is the case for the BERGEN code, 13,14 the KZKTEXAS code, [15][16][17] and the angular spectrum method of Christopher and Parker. 18,19 In the case of the angular spectrum approach, the attenuation is modeled as proportional to x y , with x the angular frequency and y non-integer, allowing one to simulate attenuation in media like biological tissue. Time domain simulators can use multiple relaxation processes to approximate such attenuation both in the linear case 20 and in the nonlinear case.…”
Section: Introductionmentioning
confidence: 99%
“…These plane waves, which propagate at different angles, can then be analysed separately and eventually recomposed into an ultrasonic field by an inverse angular spectrum. The use of the angular spectrum to model the propagation of acoustic fields and the output of transducers has been widely considered [6][7][8][9][10]. A number of authors have also used the angular spectrum approach in conjunction with multilayered system models.…”
Section: Introductionmentioning
confidence: 99%
“…The great interest in nonlinear propagation and its applications has stimulated the development of simulation programs, capable of predicting the behavior of a large class of ultrasound waves in different tissues. The main strategies to simulate the distortion of a propagating wave are based on the finite difference approach [2] and the angular spectrum method (ASM) [3]. The former is more accurate, but requires a very long time to converge.…”
Section: Introductionmentioning
confidence: 99%