Name
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. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/19.836314 | IEEE T. Instrumentation and Measurement |
Keywords | Field | DocType |
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 | Noise measurement,Signal-to-noise ratio,Noise (electronics),White noise,Electronic engineering,Noise spectral density,Effective input noise temperature,Additive white Gaussian noise,Gaussian noise,Mathematics | Journal |
Volume | Issue | ISSN |
49 | 1 | 0018-9456 |
Citations | PageRank | References |
14 | 1.60 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Bertocco | 1 | 280 | 33.87 |
| Claudio Narduzzi | 2 | 138 | 20.65 |
| P. Paglierani | 3 | 22 | 5.06 |
| Dario Petri | 4 | 435 | 64.86 |