1993
DOI: 10.1109/78.224243
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On the stability of sigma delta modulators

Abstract: Abstract-In this paper we propose a framework for stability analysis of EA modulators, and argue that limit cycles for constant inputs are natural objects to investigate in this context. We present a number of analytical and approximate techniques to aid the stability analysis of the double loop and interpolative modulators, and use these techniques to propose ways of improved design that explicitly take stability into account.

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Cited by 109 publications
(71 citation statements)
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“…A Σ∆ algorithm which has such uniform bounds on the "internal state variables" is called "stable" in the electrical engineering literature; see e.g. [13]. We are thus concerned here with establishing the existence of stable Σ∆ schemes of arbitrary order.…”
Section: More Refined Boundsmentioning
confidence: 99%
“…A Σ∆ algorithm which has such uniform bounds on the "internal state variables" is called "stable" in the electrical engineering literature; see e.g. [13]. We are thus concerned here with establishing the existence of stable Σ∆ schemes of arbitrary order.…”
Section: More Refined Boundsmentioning
confidence: 99%
“…Sobald der Unterschied zwischen der Größe der invarianten Mengen des realen und des idealen Systems für eine festgelegte Amplitude des Eingangssignals zu groß wird, kann der Modulator das Signal nicht mehr richtig verarbeiten. In diesem Fall kann das System nicht dem Eingangssignal folgen und der Quantisierungsfehler wird zu groß, wodurch das SNR abnimmt (Hein and Zakhor, 1993).…”
Section: Maximaler Integratorpegelunclassified
“…The result is further generalized in (Hein and Zakhor, 1993) with different feedback gains. (Wang, 1993) provided state bounds analysis for the third order Δ∑ Modulators.…”
Section: Clipping In a δ∑ Modulatormentioning
confidence: 99%
“…(Zorn, et al, 2013). Such a modification can be referred as the functional scaling method, which does not necessarily maintain the characteristics of the system, but provides trade-off between the SNR performance and stability (Hein and Zakhor, 1993). The functional scaling method is easier to implement than the direct scaling method.…”
Section: Scaling the Input Signalmentioning
confidence: 99%