Understanding Delta-Sigma Data Converters
Citations
2 citations
Cites background from "Understanding Delta-Sigma Data Conv..."
...A noise shaper (usually an errorfeedback modulator [2]) reduces the resolution of the 16-bit W [k] signal, yielding the 8-bit P [k] signal....
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2 citations
Cites methods from "Understanding Delta-Sigma Data Conv..."
...Although this precision is out of reach regardless of the employed technology, DAC linearity is achievable by Dynamic Element Matching (DEM) algorithms [143], [144], [145], [146], [147]....
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2 citations
Cites background from "Understanding Delta-Sigma Data Conv..."
...Although there exist some “Devil’s patterns” of alternating +2 · VLSB and −2 · VLSB inputs for which the second stage can become unstable, these cases are extremely improbable and extensive simulation verifies the stability of the converter [7]....
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2 citations
Cites background from "Understanding Delta-Sigma Data Conv..."
...Therefore, the system can be analyzed as a delta-modulator but with adaptive feedback steps wherein the average value of λe is minimized by the high loop gain at the low frequency provided by the up-down counter [6]....
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2 citations
Cites background from "Understanding Delta-Sigma Data Conv..."
...From (2-5) it can be observed that the STF is just a delay and the NTF is equivalent to a high-pass filter [25]....
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...Shaping the quantization noise outside the band of interest with DSM can improve further the SNDR of the quantizer [17][25]....
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...However, maintaining the stability in higher order DSMs is critical [25]....
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...DSM employs oversampling in order to distribute the quantization noise evenly over larger frequency band and therefore achieve smaller in-band noise [17][25]....
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References
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