Oversampled analog-to-digital (A/D) converter architectures have been receiving
increased attention for high-precision A/D converters. These architectures offer the
means of exchanging resolution in time for that in amplitude. Among these
oversampled A/D converters, delta-sigma modulators are the most popular method
used due to their simplicity in the analog circuitry. The analog integrators in delta-sigma
modulators suffer from non-idealities such as capacitor mismatches and finite
op-amp gain. In the dual quantizer A/D converters, the system relies on the perfect
matching of the analog and digital transfer functions to cancel the quantization noise.
However, the non-ideality of the analog parameters makes this matching hard to
achieve.
In this thesis, an off-line adaptive scheme is presented to estimate the non-ideal
parameters of the analog section for the second-order delta-sigma modulator. These
estimates are then used in the digital part to reduce the quantization noise. The least-mean-
square (LMS) algorithm is used to adaptively estimate the analog parameters. / Graduation date: 1993
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/35928 |
| Date | 18 September 1992 |
| Creators | Bribech, Habib |
| Contributors | Kiaei, Sayfe |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
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