Parameters Estimation from 1-Bit Dithered Quantized Data with Dependent Noise

O. Dabeer (India) and E. Masry (USA)


Quantization, parameters estimation, joint asymptotic nor mality.


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 mix ing process. An estimate of the signal parameters is pro posed and is shown to be weakly consistent. Joint asymp totic normality of the parameters estimate is established and the asymptotic mean and covariance matrix are iden tified.

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