Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Francis Castanie"'
Autor:
Jean-Luc Pasquié, Pierre Winum, Benoit Hallier, Chao Lin, Philippe Maury, Jérôme Taieb, Lionel Beck, Corinne Mailhes, Anne Rollin, Frank Raczka, Alexandre Duparc, Francis Castanie, Philippe Rolland, Jean-Yves Tourneret, Pierre Mondoly
Publikováno v:
Pacing and Clinical Electrophysiology. 37:1510-1519
The aim of the Endocardial T-Wave Alternans Study was to prospectively assess the presence of T-wave alternans (TWA) or beat-to-beat repolarization changes on implantable cardioverter-defibrillator (ICD)-stored electrograms (EGMs) immediately precedi
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 16:557-576
This paper investigates the processing techniques for non-linear high power amplifiers (HPA) using neural networks (NNs). Several applications are presented: Identification and Predistortion of the HPA. Various Neural Network structures are proposed
Publikováno v:
Signal Processing. 80:1347-1360
This paper develops an adaptive maximum likelihood sequence estimator (MLSE) for rapidly fading channels corrupted by additive white Gaussian noise. This estimator is based on an explicit incorporation of the time-varying characteristics in channel m
Publikováno v:
IEEE Transactions on Signal Processing. 48:557-560
This correspondence investigates the statistical behavior of two adaptive gradient search algorithms for identifying an unknown Wiener-Hammerstein system (WHS) with Gaussian inputs. The first scheme attempts to identify the WHS with an LMS adaptive f
Publikováno v:
IEEE Transactions on Signal Processing. 46:1208-1220
This paper proposes a neural network (NN) approach for modeling nonlinear channels with memory. Two main examples are given: (1) modeling digital satellite channels and (2) modeling solid-state power amplifiers (SSPAs). NN models provide good general
Publikováno v:
IEEE Transactions on Signal Processing. 45:747-756
Neural networks have been used for modeling the nonlinear characteristics of memoryless nonlinear channels using backpropagation (BP) learning with experimental training data. In order to better understand this neural network application, this paper
Autor:
Francis Castanié
Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature.
Publikováno v:
Signal Processing. 40:65-85
This paper studies the convergence properties of a multi-layer linear neural network (MLLNN) within the framework of adaptive FIR filtering. The back propagation (BP) algorithm is used to adjust the network weights. We apply this structure to adaptiv
Autor:
Olivier Besson, Francis Castanie
Publikováno v:
Signal Processing. 30:65-83
In classical spectral or frequency estimation, generally, the case of sinusoids embedded in additive noise is studied. Since this model is not relevant in some cases, this paper considers a new multiplicative model denoted ARCOS: a sinusoid amplitude
Autor:
Francis Castanie, Corinne Mailhes
Publikováno v:
Time-Frequency Analysis: Concepts and Methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5431d49f30f52d287c8058ff0d6a750
https://doi.org/10.1002/9780470611203.ch11
https://doi.org/10.1002/9780470611203.ch11