A noise model for digitized data

Author

Bertocco, Matteo ; Narduzzi, Claudio ; Paglierani, Pietro ; Petri, Dario

Author_Institution

Dipt. di Elettronica e Inf., Padova Univ., Italy

Volume

49

Issue

1

fYear

2000

fDate

2/1/2000 12:00:00 AM

Firstpage

83

Lastpage

86

Abstract

The paper analyzes the overall conversion error of a noisy digitizer affected by Gaussian noise at its input or generated within the digitizer itself. It is shown that, under mild conditions concerning the ratio between the input noise standard deviation and the quantization step, the overall conversion error can be modeled by a Gaussian random variable uncorrelated with the input sequence. The power of the global conversion error is evaluated in closed formulae together with its degree of variability. Numerical simulations support the proposed analysis

Keywords

AWGN; quantisation (signal); signal sampling; Gaussian random variable; additive white Gaussian noise; closed formulae; degree of variability; digital measurement; digitized data; global conversion error; input noise standard deviation; noise model; noisy digitizer; overall conversion error; quantization step; signal sampling; statistical moments; Additive noise; Additive white noise; Circuit noise; Gaussian noise; Maximum likelihood estimation; Noise generators; Noise measurement; Quantization; Signal processing; Signal sampling;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.836314

Filename

836314