Polynomial Phase Signal Denoising via Sparse Representations Over a SMAF-Based Dictionary Learning Algorithm
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3545558
Abstract: In this paper, we address the problem of denoising polynomial phase signals (PPS) by removing additive white Gaussian noise. Our approach is based on sparse representation using a trained dictionary, which is obtained through the… read more here.
Keywords: phase signal; dictionary learning; polynomial phase; learning algorithm ... See more keywords
Finite-Difference Algorithm for Polynomial Phase Signal Parameter Estimation
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DOI: 10.1109/taes.2019.2910981
Abstract: A new algorithm, the finite-difference algorithm, is proposed for single-component polynomial phase signal parameter estimation. The proposed algorithm takes advantage of the framework of the quasi-maximum-likelihood (QML) estimator but estimates the finite difference of the… read more here.
Keywords: phase signal; finite difference; phase; difference algorithm ... See more keywords
Modifications to Finite Difference Algorithm for Polynomial Phase Signal Parameter Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2021.3103246
Abstract: The finite difference (FD) algorithm is a recently proposed algorithm for single-component polynomial phase signal (PPS) parameter estimation. It can handle high-order PPSs, while being computationally simple. A drawback of the algorithm is that it… read more here.
Keywords: finite difference; polynomial phase; phase signal; phase ... See more keywords