2008
DOI: 10.1109/isscc.2008.4523270
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A 108dB SNR 1.1mW Oversampling Audio DAC with a Three-Level DEM Technique

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Cited by 23 publications
(6 citation statements)
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“…Recent techniques achieve this goal by using a mix of DAC elements with different weights, e.g., segmenting [1] or cascading [2]. Unlike 1b modulation, the multi-level DACs need mismatch shaping algorithms to compensate for the typical 0.1 to 1% on-die mismatch.…”
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confidence: 99%
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“…Recent techniques achieve this goal by using a mix of DAC elements with different weights, e.g., segmenting [1] or cascading [2]. Unlike 1b modulation, the multi-level DACs need mismatch shaping algorithms to compensate for the typical 0.1 to 1% on-die mismatch.…”
mentioning
confidence: 99%
“…However, it results in increased current consumption, more high-frequency components, and higher sensitivity to circuit timing/jitter. Another analog solution [1] is to use a trackand-hold circuit to deglitch the waveform. However, such sampling circuits are sensitive to aliasing of high-frequency noise.…”
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confidence: 99%
“…Second, a 2 nd -order 8b modulator is used to reduce clock jitter requirements and to achieve low out-of-band noise. Third, a 3-level rotational dynamic element matching (DEM) scheme is introduced which achieves better SNR performance and lower power consumption than that of previously presented work [4]. Fourth, a signed-magnitude approach is taken at the boundary between the digital and the analog domains such that combined with the 3-level rotational DEM technique would ensure the digital activities at the boundary are proportional to the input signal amplitude which reduces digital coupling effects at low input levels.…”
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confidence: 99%
“…For area and power considerations a noise-shaped segmentation technique is used, to split the 8b modulator data into a 4b word with a weight of 16×, and a pair of 3b words with weights of 4× and 1×, respectively. The gain errors between the weighted segments are 1 st -order noise shaped [4]. After a sign-magnitude thermometer code conversion individual rotational shuffling is applied to each of the segmented data.…”
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confidence: 99%
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