Eric Colinet - Academia.edu (original) (raw)
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Papers by Eric Colinet
49th IEEE Conference on Decision and Control (CDC), 2010
An online approach to parameter estimation problems based on binary observations is presented in ... more An online approach to parameter estimation problems based on binary observations is presented in this paper. This recursive identification method relies on a least-mean squares approach which makes it possible to estimate the coefficients of a finite-impulse response system knowing only the system input and the sign of the system output. The impulse response is identified up to a positive multiplicative constant. The role of the regulative coefficient is investigated thanks to simulated data. The proposed method is compared with another online approach: it is shown that the proposed method is competitive with the other one in terms of estimation quality and of calculation complexity.
2007 IEEE Northeast Workshop on Circuits and Systems, 2007
This paper deals with the test of sigma-delta MEMS sensors thanks to BIMBO, an identification met... more This paper deals with the test of sigma-delta MEMS sensors thanks to BIMBO, an identification method based on binary observations. We show how this method may be used in order to estimate the parameters of the sensing cell and of the associated analog electronics. The principle of the method and its theoretical properties are briefly presented and its pros and cons are discussed. Two approaches for the test of sigma-delta sensors are then presented and compared. I.
49th IEEE Conference on Decision and Control (CDC), 2010
An online approach to parameter estimation problems based on binary observations is presented in ... more An online approach to parameter estimation problems based on binary observations is presented in this paper. This recursive identification method relies on a least-mean squares approach which makes it possible to estimate the coefficients of a finite-impulse response system knowing only the system input and the sign of the system output. The impulse response is identified up to a positive multiplicative constant. The role of the regulative coefficient is investigated thanks to simulated data. The proposed method is compared with another online approach: it is shown that the proposed method is competitive with the other one in terms of estimation quality and of calculation complexity.
2007 IEEE Northeast Workshop on Circuits and Systems, 2007
This paper deals with the test of sigma-delta MEMS sensors thanks to BIMBO, an identification met... more This paper deals with the test of sigma-delta MEMS sensors thanks to BIMBO, an identification method based on binary observations. We show how this method may be used in order to estimate the parameters of the sensing cell and of the associated analog electronics. The principle of the method and its theoretical properties are briefly presented and its pros and cons are discussed. Two approaches for the test of sigma-delta sensors are then presented and compared. I.