Parameter estimation of 2D polynomial phase signals using NU sampling and 2D CPF
Abstract
The two-dimensional (2D) cubic phase function (CPF) is known as a highly accurate 2D polynomial phase signal estimator, but it has limited applicability due to the requirement for the 3D search for second-order partial phase derivatives. The authors propose an interpolation-based approach simulating non-uniform (NU) signal sampling in order to reduce the 2D CPF calculation complexity. The NU resampling enables the 2D CPF evaluation using the 2D...
Paper Details
Title
Parameter estimation of 2D polynomial phase signals using NU sampling and 2D CPF
Published Date
Dec 1, 2018
Journal
Volume
12
Issue
9
Pages
1140 - 1145
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