J. C. Aguero, G. C. Goodwin, and &. J. Yuz, System identification using quantized data, 2007 46th IEEE Conference on Decision and Control, 2007.
DOI : 10.1109/CDC.2007.4434350

A. Chiuso, A note on estimation using quantized data, Proc of the 17th IFAC World Congress, 2008.
DOI : 10.3182/20080706-5-KR-1001.02113

E. Colinet and &. J. Juillard, A Weighted Least-Squares Approach to Parameter Estimation Problems Based on Binary Measurements, IEEE Transactions on Automatic Control, vol.55, issue.1, pp.148-152, 2010.
DOI : 10.1109/TAC.2009.2033842

URL : https://hal.archives-ouvertes.fr/hal-00450295

B. I. Godoy, G. C. Goodwin, J. C. Aguero, D. Marelli, and &. T. Wigren, On identification of FIR systems having quantized output data, Automatica, vol.47, issue.9, 1905.
DOI : 10.1016/j.automatica.2011.06.008

F. Gustafsson and &. R. Karlsson, Statistical results for system identification based on quantized observations, Automatica, vol.45, issue.12, pp.2794-2801, 2009.
DOI : 10.1016/j.automatica.2009.09.014

J. Juillard, K. Jafaridinani, and &. E. Colinet, Consistency of weighted least-square estimators for parameters estimation problems based on binary measurements. The 15th IFAC Symp. System Identification, 2009.

J. C. Keenan and &. J. Lewis, Estimation with quantized measurements, 1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes, 1976.
DOI : 10.1109/CDC.1976.267683

K. Konishi, A robust SDP approach to system identification with roughly quantized data, 2009 IEEE International Conference on Systems, Man and Cybernetics, pp.2800-2805, 2009.
DOI : 10.1109/ICSMC.2009.5346585

X. Liu, J. Wang, and &. Q. Zhang, A quadratic-programming-based method to quantized system identification, The 18th IFAC World Congress, pp.9052-9057, 2011.

Y. C. Liu and &. G. Wise, A note on estimation with quantized data, IEEE Trans. Acoustics, Speech and Signal Processing, vol.33, issue.6, pp.1619-1621, 1985.

J. E. Masry, The reconstruction of analog signals from the sign of their noisy samples, IEEE Transactions on Information Theory, vol.27, issue.6, pp.735-745, 1981.
DOI : 10.1109/TIT.1981.1056424

E. Rafajlowicz, Linear systems identification from random threshold binary data, IEEE Transactions on Signal Processing, vol.44, issue.8, pp.2064-2070, 1996.
DOI : 10.1109/78.533726

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.43.9849

K. Tsumura, Asymptotic property of optimal quantization for system identification, 2004.

K. Tsumura, CRITERIA FOR SYSTEM IDENTIFICATION WITH QUANTIZED DATA AND THE OPTIMAL QUANTIZATION SCHEMES, Proc of the 16th IFAC World Congress, 2005.
DOI : 10.3182/20050703-6-CZ-1902.00044

L. Y. Wang, J. F. Zhang, and &. G. Yin, System identification using binary sensors, IEEE Transactions on Automatic Control, vol.48, issue.11, pp.1892-1906, 2003.
DOI : 10.1109/TAC.2003.819073

L. Y. Wang, J. F. Zhang, and &. G. Yin, Joint identification of plant rational models and noise distribution functions using binary-valued observations, Automatica, vol.42, issue.4, pp.535-547, 2006.
DOI : 10.1016/j.automatica.2005.12.004

L. Y. Wang and &. G. Yin, Asymptotically efficient parameter estimation using quantized output observations, Automatica, vol.43, issue.7, pp.1178-1191, 2007.
DOI : 10.1016/j.automatica.2006.12.030

T. Wigren, Adaptive filtering using quantized output measurements, IEEE Transactions on Signal Processing, vol.46, issue.12, pp.3423-3426, 1998.
DOI : 10.1109/78.735317