ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483)
DOI: 10.1109/icecs.2001.957472
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On the stability of high order Sigma-Delta modulators

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Cited by 9 publications
(13 citation statements)
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“…This means that the initial condition with respect to x k should be taken in accordance with (7) in order to ensure stability of the solution. This fits with the results in [11], [12] concerning the stability of high order modulators when only one pole of the loop filter is larger than 1.…”
Section: If |λ K |<1 For Every L That Is Large Enough (After Enough supporting
confidence: 80%
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“…This means that the initial condition with respect to x k should be taken in accordance with (7) in order to ensure stability of the solution. This fits with the results in [11], [12] concerning the stability of high order modulators when only one pole of the loop filter is larger than 1.…”
Section: If |λ K |<1 For Every L That Is Large Enough (After Enough supporting
confidence: 80%
“…The corresponding block diagram of modulator model is given in Fig. 2 [10], [11]. Based on this presentation the state equations of the Sigma Delta modulator are…”
Section: Parallel Decomposition Of High Ordermentioning
confidence: 99%
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“…Due to the fact that Σ-Δ modulation is a non-linear process, its analysis is particularly difficult and is usually based on linear or quasi-linear models. Many empirical stability criteria and optimization techniques can be found in [3], while a stability analysis of high-order Σ-Δ modulators is presented in [4]. Stability problems relate to the input amplitude, the loop filter zeros and poles and the number of quantization levels.…”
Section: Introductionmentioning
confidence: 99%
“…There is a theory [5] that allows us to have an approximate estimate on the modulator stability ranges and that is based on loopfilter parallel decomposition. In this paper we present a derivation of an arbitrary SDM high order loopfilters from Z to S domain with performance result validation with software simulations in MATLAB.…”
mentioning
confidence: 99%