2004
DOI: 10.1109/tcsi.2003.821283
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Stable High-Order Delta–Sigma Digital-to-Analog Converters

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Cited by 33 publications
(21 citation statements)
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“…However, the location of zeroes can be optimized such that the noise power in the band-of-interest can be minimized [22]. It has been shown in [41] that an (n − 1) th -order DSM with number of output bits, m = n can be always made stable i.e. no overflow in the integrator.…”
Section: Conventional Dsmsmentioning
confidence: 99%
“…However, the location of zeroes can be optimized such that the noise power in the band-of-interest can be minimized [22]. It has been shown in [41] that an (n − 1) th -order DSM with number of output bits, m = n can be always made stable i.e. no overflow in the integrator.…”
Section: Conventional Dsmsmentioning
confidence: 99%
“…Although it is shown in [18] that multi-bit quantization is nonlinear and has a limiting overloading level, the accurate prediction of the stability limits of multi-bit quantizer based Δ-Σ modulators still remains unresolved. A lower-bound has been established in [19] and [20], which however does not consider any of the statistical properties of the quantizer input and its effects on the quantizer gain. The statistical properties of the signal and quantization noise variance at the quantizer input simultaneously determine the quantizer gain.…”
Section: B Multi-bit Quantizersmentioning
confidence: 99%
“…Accordingly (17) is evaluated that gives the variation of  e with K q5L which for 0.153 is 1.027. One can then evaluate (20) which gives the value of  =4.050.…”
Section: B Step-by Step Experimental Validationmentioning
confidence: 99%
“…2.3) has been determined by using the L 1 norm of the loop filter. A sufficient stability criterion of the EFM has been provided in [100] where an EFM with a truncator of q + 1 bits and an FIR loop filter H (z) (that contributes to a q-bit increase in the data-flow) is stable. The EFM is considered as "un-stable" if it produces a poor signal-to-noise ratio (SNR) compared to that predicted by the linear models, according to [100, Sec.…”
Section: Introductionmentioning
confidence: 99%