Jul 4, 2015 · The proposed technique consists of two basic stages: rough estimation that is performed using 2-D STFT and fine stage with dechirping, ...

The proposed technique consists of two basic stages: rough estimation that is performed using 2-D STFT and fine stage with dechirping, downsampling, filtering, ...

The proposed technique consists of two basic stages: rough estimation that is performed using 2-D STFT and fine stage with dechirping, downsampling, filtering, ...

The 2-D quasi-maximum likelihood algorithm for estimation of 2-D polynomial phase signals (2-D PPSs) is proposed. Estimation of all phase parameters is ...

Oct 22, 2024 · The proposed technique consists of two basic stages: rough estimation that is performed using 2-D STFT and fine stage with dechirping, ...

Several papers have been published recently on the quasi-maximum likelihood (QML) approach for the polynomial phase signals (PPS) parameter estimation.

Jun 1, 2014 · The proposed technique is extended for the non-parametric estimation with a 2D search over a set of polynomial orders and window widths. Good ...

The QML algorithm significantly outperforms existing PPS estimators in terms of accuracy. However, its practical applications require efficient software and ...

In this paper, an idea from the quasi-maximum-likelihood (QML) algorithm has been applied to estimation of the direction of arrival (DOA) and parameters of ...

The main contribution of this paper is that we present a novel parameter estimation method. ... Quasi ML algorithm for 2-D PPS estimation. Article 04 July 2015 ...