Title :
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
fDate :
2/1/2000 12:00:00 AM
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;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
