2001
DOI: 10.1109/81.928155
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Distortion analysis of periodically switched nonlinear circuits using time-varying Volterra series

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Cited by 46 publications
(28 citation statements)
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“…Der lineare Anteilỹ n,L (t) der Ausgangsgrößeỹ n (t) ist eine lineare Funktion der n-ten Eingangsgrößex n (t), während-dessen der nichtlineare Anteilỹ n,NL (t) eine nichtlineare eitung der Modelle für andere Grundnichtlinearitäten ist valent (Yuan, 2001).…”
Section: Die Methode Der Nichtlinearen Stromquellenunclassified
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“…Der lineare Anteilỹ n,L (t) der Ausgangsgrößeỹ n (t) ist eine lineare Funktion der n-ten Eingangsgrößex n (t), während-dessen der nichtlineare Anteilỹ n,NL (t) eine nichtlineare eitung der Modelle für andere Grundnichtlinearitäten ist valent (Yuan, 2001).…”
Section: Die Methode Der Nichtlinearen Stromquellenunclassified
“…R 1 entspricht dem ersten Taylor-Koeffizienten der StromSpannungsbeziehung (linearer Anteil des Widerstandes). Die Herleitung der Modelle für andere Grundnichtlinearitäten isẗ aquivalent (Yuan und Opal, 2001 …”
Section: Die Methode Der Nichtlinearen Stromquellenunclassified
“…To consider weakly nonlinearities by the finite magnitude of , higher order terms are included in (7) . (8) In (8) vector kronecker products of are used, and , are the ith order T-periodic conductance and capacitance matrices, respectively. Analogous to the time-invariant case, when the nonlinear current method is used to solve (8), responses at different orders are sought by recursively solving the LPTV circuit in (7) with different inputs.…”
Section: A Time-invariant Volterra Seriesmentioning
confidence: 99%
“…(8) In (8) vector kronecker products of are used, and , are the ith order T-periodic conductance and capacitance matrices, respectively. Analogous to the time-invariant case, when the nonlinear current method is used to solve (8), responses at different orders are sought by recursively solving the LPTV circuit in (7) with different inputs. More specifically, the second and third order responses are determined by (9) (10)…”
Section: A Time-invariant Volterra Seriesmentioning
confidence: 99%
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