The spectral component discrimination or the estimation of one or more signal frequencies are classical problems in signal processing. In this paper, we study a nerv technic to increase the frequency resolution called frequency filtering zoom (LFF) . This method is complementary of existing methods since it allows to save the spectrum amplitude and phase of the signal . On the other hand, a software real time analysis of signal is possible by this zoom .La séparation de composantes spectrales proches ou l'évaluation précise d'une ou plusieurs fréquences d'un signal sont des problèmes classiques en traitement du signal . Nous présentons dans cet article une nouvelle technique d'accroissement de la résolution fréquentielle appelée loupe ...
After a brief survey of noise cancelling using the noise references principle, we analyse the influ...
There are two main ways for non parametric digital spectral analysis . Spectral analysis by means of...
This thesis is interested in the application of statistical physics methods and inference to signal ...
Since a few years, high resolution methods appeared in the field of signal processing . They allow t...
A tutorial review of the use of discrete time transversal Volterra filters (TVF) in detection, esti...
This paper deals with the adoptive estimation of a linear and stationary filter in noise cancelling ...
This paper proposes a new identification method in echoic situations. This method, using power CEPST...
To improve the detection of flaws by ultrasonic spectroscopy the amplitude and phase of the spectral...
Adaptive spectrum estimation is based on a local stationarity assumption for the studied process, an...
This paper is a survey of parametric modeling applied to frequency estimation of sinusoidal signals ...
This thesis presents a novel approach for optical tri-dimensional contouring, requiring only one acq...
EXPULSEmethod lifts the main drawback of the classical high resolution spectral analysis methods (M...
Second order methods in signal processing for spatial analysis are limited by the correlation betwe...
This article deals with the aliasing phenomenon due to CCD sensors . Those detectors inherently carr...
A wavelet analysis is introduced for discrete and periodic signals, which generalises to a scale rat...
After a brief survey of noise cancelling using the noise references principle, we analyse the influ...
There are two main ways for non parametric digital spectral analysis . Spectral analysis by means of...
This thesis is interested in the application of statistical physics methods and inference to signal ...
Since a few years, high resolution methods appeared in the field of signal processing . They allow t...
A tutorial review of the use of discrete time transversal Volterra filters (TVF) in detection, esti...
This paper deals with the adoptive estimation of a linear and stationary filter in noise cancelling ...
This paper proposes a new identification method in echoic situations. This method, using power CEPST...
To improve the detection of flaws by ultrasonic spectroscopy the amplitude and phase of the spectral...
Adaptive spectrum estimation is based on a local stationarity assumption for the studied process, an...
This paper is a survey of parametric modeling applied to frequency estimation of sinusoidal signals ...
This thesis presents a novel approach for optical tri-dimensional contouring, requiring only one acq...
EXPULSEmethod lifts the main drawback of the classical high resolution spectral analysis methods (M...
Second order methods in signal processing for spatial analysis are limited by the correlation betwe...
This article deals with the aliasing phenomenon due to CCD sensors . Those detectors inherently carr...
A wavelet analysis is introduced for discrete and periodic signals, which generalises to a scale rat...
After a brief survey of noise cancelling using the noise references principle, we analyse the influ...
There are two main ways for non parametric digital spectral analysis . Spectral analysis by means of...
This thesis is interested in the application of statistical physics methods and inference to signal ...