A signal processing approach is discussed which has the potential for imaging strongly scattering objects from a series of scattering experiments. The method is based on a linear spectral estimation technique to replace the filtered backpropagation for limited discrete data and a subsequent nonlinear signal processing step to remove the contribution of multiple scattering my means of homomorphic filtering. Details of this approach are discussed and illustrated by applying the imaging algorithm to both simulated and real data.
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Markus TESTORF, Andres MORALES-PORRAS, Michael FIDDY, "Imaging of Strongly Scattering Targets Based on Signal Processing Algorithms" in IEICE TRANSACTIONS on Electronics,
vol. E83-C, no. 12, pp. 1905-1911, December 2000, doi: .
Abstract: A signal processing approach is discussed which has the potential for imaging strongly scattering objects from a series of scattering experiments. The method is based on a linear spectral estimation technique to replace the filtered backpropagation for limited discrete data and a subsequent nonlinear signal processing step to remove the contribution of multiple scattering my means of homomorphic filtering. Details of this approach are discussed and illustrated by applying the imaging algorithm to both simulated and real data.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e83-c_12_1905/_p
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@ARTICLE{e83-c_12_1905,
author={Markus TESTORF, Andres MORALES-PORRAS, Michael FIDDY, },
journal={IEICE TRANSACTIONS on Electronics},
title={Imaging of Strongly Scattering Targets Based on Signal Processing Algorithms},
year={2000},
volume={E83-C},
number={12},
pages={1905-1911},
abstract={A signal processing approach is discussed which has the potential for imaging strongly scattering objects from a series of scattering experiments. The method is based on a linear spectral estimation technique to replace the filtered backpropagation for limited discrete data and a subsequent nonlinear signal processing step to remove the contribution of multiple scattering my means of homomorphic filtering. Details of this approach are discussed and illustrated by applying the imaging algorithm to both simulated and real data.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Imaging of Strongly Scattering Targets Based on Signal Processing Algorithms
T2 - IEICE TRANSACTIONS on Electronics
SP - 1905
EP - 1911
AU - Markus TESTORF
AU - Andres MORALES-PORRAS
AU - Michael FIDDY
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E83-C
IS - 12
JA - IEICE TRANSACTIONS on Electronics
Y1 - December 2000
AB - A signal processing approach is discussed which has the potential for imaging strongly scattering objects from a series of scattering experiments. The method is based on a linear spectral estimation technique to replace the filtered backpropagation for limited discrete data and a subsequent nonlinear signal processing step to remove the contribution of multiple scattering my means of homomorphic filtering. Details of this approach are discussed and illustrated by applying the imaging algorithm to both simulated and real data.
ER -