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Teager–Kaiser energy methods for signal and image analysis: A review
This paper provides a review of the Teager–Kaiser (TK) energy operator and its extensions
for signals and images processing. This class of operators possesses simplicity and good …
for signals and images processing. This class of operators possesses simplicity and good …
Review of the quasi-maximum likelihood estimator for polynomial phase signals
Several papers have been published recently on the quasi-maximum likelihood (QML)
approach for the polynomial phase signals (PPS) parameter estimation. The QML is …
approach for the polynomial phase signals (PPS) parameter estimation. The QML is …
Performance of chirp parameter estimation in the fractional Fourier domains and an algorithm for fast chirp-rate estimation
O Aldimashki, A Serbes - IEEE Transactions on Aerospace and …, 2020 - ieeexplore.ieee.org
This article addresses the problem of fast and accurate chirp signal parameter estimation in
fractional Fourier domains. By employing a perturbation analysis, it is shown that the …
fractional Fourier domains. By employing a perturbation analysis, it is shown that the …
Frequency-chirprate reassignment
In this paper, we consider a three-dimensional parameter space, which is the time-frequency-
chirprate (TFCR), to characterize the time-varying features of multi-component non …
chirprate (TFCR), to characterize the time-varying features of multi-component non …
[HTML][HTML] Estimation and classification of NLFM signals based on the time–chirp representation
A new approach to the estimation and classification of nonlinear frequency modulated
(NLFM) signals is presented in the paper. These problems are crucial in electronic …
(NLFM) signals is presented in the paper. These problems are crucial in electronic …
QML-RANSAC instantaneous frequency estimator for overlap** multicomponent signals in the time-frequency plane
I Djurović - IEEE Signal Processing Letters, 2018 - ieeexplore.ieee.org
Effective quasi maximum likelihood-random samples consensus algorithm is proposed for
the instantaneous frequency (IF) estimation of overlap** signals in the time-frequency (TF) …
the instantaneous frequency (IF) estimation of overlap** signals in the time-frequency (TF) …
A novel parameter estimation method for polynomial phase signals via adaptive EKF
H Du, Y Song, J Zhou, C Fan… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In this article, an efficient method for parameter estimation of polynomial phase signal (PPS)
is proposed. Instead of the existing methods based on parametric ergodic search or phase …
is proposed. Instead of the existing methods based on parametric ergodic search or phase …
Three-dimension extracting transform
X Zhu, Z Zhang, J Gao - Signal Processing, 2021 - Elsevier
In this paper, we consider a three-dimensional parameter space, which is the time-frequency-
chirprate (TFCR), to characterize the time-varying features of multi-component non …
chirprate (TFCR), to characterize the time-varying features of multi-component non …
LFM signal parameter estimation in the fractional Fourier domains: Analytical models and a high-performance algorithm
O Aldimashki, A Serbes - Signal Processing, 2024 - Elsevier
The index of the peak magnitude of the fractional Fourier transform (FrFT) of linear frequency
modulated (LFM) signals has been widely used as a powerful chirp-rate estimator. In this …
modulated (LFM) signals has been widely used as a powerful chirp-rate estimator. In this …
Bistatic sar maritime ship target 3-d image reconstruction method without distortion in local cartesian coordinate
Q Yang, Z Li, J Li, Y Wang, J Long, J Wu… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Bistatic synthetic aperture radar (BiSAR) has been attracting worldwide attention because of
its forward-looking imaging and high anti-interference. In harsh environment, it is vital for …
its forward-looking imaging and high anti-interference. In harsh environment, it is vital for …