Since time-delay, Doppler effect and phase estimation are fundamental tasks in a plethora of engineering fields, tractable lower performance bounds for this problem are key tools of broad interest for a large variety of remote sensing applications. In the large sample regime and/or the high signal-to-noise ratio regime of the Gaussian conditional signal model, the Cramér–Rao bound (CRB) provides an accurate lower bound in the mean square error sense. In this contribution, we introduce firstly a new compact CRB expression for the joint time-delay and Doppler stretch estimation, considering a generic delayed and dilated band-limited signal. This generalizes known results for both wideband signals and the standard narrowband signal mode...
Phase retrieval (PR) aims to recover a signal from the magnitudes of a set of inner products. This p...
Hyperspectral imaging (HSI) extends from the fact that for any given material, the amount of emitted...
Machine learning is a hot topic in today's society. Data sets of varying sizes show up in a number o...
The derivation of tight estimation lower bounds is a key tool to design and assess the performance o...
International audienceFor linear discrete state-space models, under certain conditions, the linear l...
International audienceRecent technological progress has allowed the development of low-cost and high...
International audienceIn this paper, we consider a multicarrier waveform to perform simultaneously d...
Copyright [2010] IEEE. This material is posted here with permission of the IEEE. Such permission of ...
This thesis proposes a novel approach to automatically monitor the variationsof the frequencies and ...
This contribution analyzes the fundamental performance limits of traditional two-step Global Navigat...
Like other coherent imaging modalities, synthetic aperture radar (SAR) images suffer from speckle no...
This thesis presents an original solution for extracting, from OFDM communication signals, the infor...
International audienceThis paper focuses on bats detection, tagged at low frequency (134.2 kHz) with...
AbstractTechnology of passive location has broad prospects in applications. In this paper, the metho...
The work presented here tackles two different subjects in the wide thematic of how to build a numeri...
Phase retrieval (PR) aims to recover a signal from the magnitudes of a set of inner products. This p...
Hyperspectral imaging (HSI) extends from the fact that for any given material, the amount of emitted...
Machine learning is a hot topic in today's society. Data sets of varying sizes show up in a number o...
The derivation of tight estimation lower bounds is a key tool to design and assess the performance o...
International audienceFor linear discrete state-space models, under certain conditions, the linear l...
International audienceRecent technological progress has allowed the development of low-cost and high...
International audienceIn this paper, we consider a multicarrier waveform to perform simultaneously d...
Copyright [2010] IEEE. This material is posted here with permission of the IEEE. Such permission of ...
This thesis proposes a novel approach to automatically monitor the variationsof the frequencies and ...
This contribution analyzes the fundamental performance limits of traditional two-step Global Navigat...
Like other coherent imaging modalities, synthetic aperture radar (SAR) images suffer from speckle no...
This thesis presents an original solution for extracting, from OFDM communication signals, the infor...
International audienceThis paper focuses on bats detection, tagged at low frequency (134.2 kHz) with...
AbstractTechnology of passive location has broad prospects in applications. In this paper, the metho...
The work presented here tackles two different subjects in the wide thematic of how to build a numeri...
Phase retrieval (PR) aims to recover a signal from the magnitudes of a set of inner products. This p...
Hyperspectral imaging (HSI) extends from the fact that for any given material, the amount of emitted...
Machine learning is a hot topic in today's society. Data sets of varying sizes show up in a number o...