Articles with "eigenvalue decomposition" as a keyword



Efficient ISAR Phase Autofocus Based on Eigenvalue Decomposition

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Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2017.2746758

Abstract: Phase autofocus is a key step in translational motion compensation for inverse synthetic aperture radar. From the eigenvalue decomposition (EVD) of the covariance matrix generated by the aligned range-compressed signal, eigenvectors can be obtained for… read more here.

Keywords: phase autofocus; evd; eigenvalue decomposition; autofocus ... See more keywords
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Eigenvalue Decomposition of a Parahermitian Matrix: Extraction of Analytic Eigenvalues

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Published in 2021 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2021.3049962

Abstract: An analytic parahermitian matrix admits an eigenvalue decomposition (EVD) with analytic eigenvalues and eigenvectors except in the case of multiplexed data. In this paper, we propose an iterative algorithm for the estimation of the analytic… read more here.

Keywords: analytic eigenvalues; eigenvalue decomposition; parahermitian matrix; decomposition parahermitian ... See more keywords
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Eigenvalue Decomposition of a Parahermitian Matrix: Extraction of Analytic Eigenvectors

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Published in 2023 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2023.3269664

Abstract: An analytic parahermitian matrix admits in almost all cases an eigenvalue decomposition (EVD) with analytic eigenvalues and eigenvectors. We have previously defined a discrete Fourier transform (DFT) domain algorithm which has been proven to extract… read more here.

Keywords: analytic eigenvectors; eigenvalue decomposition; parahermitian matrix; extraction analytic ... See more keywords
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Generalized Sidelobe Canceller for Ultrasound Imaging based on Eigenvalue Decomposition

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Published in 2019 at "Acoustical Physics"

DOI: 10.1134/s1063771019010159

Abstract: The improved generalized sidelobe canceller (GSC) based on eigenvalue decomposition beamforming technique for ultrasound imaging is proposed. Firstly, the signal subspace is obtained by performing eigenvalue decomposition on the covariance matrix of received data. Secondly,… read more here.

Keywords: generalized sidelobe; eigenvalue decomposition; decomposition; sidelobe canceller ... See more keywords