Parameters estimation from 1-bit dithered quantized data with dependent noise

Authors:
Onkar Dabeer;Elias Masry
Affiliations:
Tata Institute for Fundamental Research, Mumbai, India;University of California, San Diego
Venue:
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Year:
2007

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Abstract

We consider multivariate signal parameter estimation when only dithered 1-bit quantized samples are available. The observation noise is taken to be a stationary, strongly mixing process. An estimate of the signal parameters is proposed and is shown to be weakly consistent. Joint asymptotic normality of the parameters estimate is established and the asymptotic mean and covariance matrix are identified.