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| Content Provider | Springer Nature Link |
|---|---|
| Author | Fraser, Neil A. wrouzian, Behrouz |
| Copyright Year | 2004 |
| Abstract | The existing techniques available for the statistical estimation of the dc input signal stability in general-order Σ-Δ analog-to-digital (A/D) converters are based on the assumption that the constituent quantizer input signal has a Gaussian distribution. However, empirical investigations reveal that this assumption holds adequately true only for the special case of conventional first-order Σ-Δ A/D converters. This paper presents an alternative technique for the accurate estimation of the dc input signal stability for higher-order Σ-Δ A/D converters. This estimation technique is based on the practical assumption that the constituent quantizer operates in its overload-free region, permitting the characterization of the quantizer output signal digit-pattern for the determination of the statistical moments of the corresponding quantizer input signal. The resulting statistical moments are subsequently incorporated in a Gram-Charlier series for an accurate quasi-linear modeling of the quantizer. A typical application example is given to demonstrate the accuracy of the proposed statistical technique for predicting the existence of multiple regions of instability and stability in the Σ-Δ A/D converter operation, and particularly for predicting the point where the A/D converter operation becomes unstable. |
| Starting Page | 439 |
| Ending Page | 462 |
| Page Count | 24 |
| File Format | |
| ISSN | 0278081X |
| Journal | Circuits, Systems, and Signal Processing |
| Volume Number | 23 |
| Issue Number | 6 |
| e-ISSN | 15315878 |
| Language | English |
| Publisher | Birkhäuser-Verlag |
| Publisher Date | 2004-01-01 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Electronic and Computer Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Signal Processing |
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