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Cepstral filtering for recovery of object from scattered field data

机译:倒谱滤波,用于从分散的场数据中恢复对象

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Abstract: In this paper, we calculate information about the structure of strongly scattering objects with permittivity fluctuations having scales comparable with the illuminating wavelength. This is the situation for which small wavelength approximations or weakly scattering approximations are not valid. We formulate the problem as one of recovering an object function from a set of noisy versions of itself, which is a problem that frequently arises in imaging. We employ homomorphic filtering and differential cepstral filtering and show that information about the scattering object can be obtained.!15
机译:摘要:在本文中,我们计算有关介电常数波动的强散射对象的结构的信息,该对象的尺度与照明波长相当。在这种情况下,小波长近似值或弱散射近似值无效。我们将问题表述为一种从其本身的嘈杂版本中恢复对象功能的问题,这是成像中经常出现的问题。我们采用同态滤波和差分倒谱滤波,表明可以获取有关散射物体的信息!15

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