PREDICTING NOISE PROPAGATION IN CIRCUITS

A method for predicting noise propagation in a circuit comprising correlating noise results predicted by a circuit model to a transistor level model with a processor, generating a first best fit data analytics model for identifying the optimal output pin capacitance as a function of circuit conditio...

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Bibliographische Detailangaben
Hauptverfasser:	Rose Ronald D, Upreti Sanjay, Kurtz Steven
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES PHYSICS TESTING
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Beschreibung
Zusammenfassung:	A method for predicting noise propagation in a circuit comprising correlating noise results predicted by a circuit model to a transistor level model with a processor, generating a first best fit data analytics model for identifying the optimal output pin capacitance as a function of circuit conditions and store the first best fit model in a noise rule file in a memory, generating a second best fit data analytics model for predicting noise peak output from the circuit model as a function of the circuit conditions and store the second best fit model in the noise rule file in the memory, and applying the first best fit model and the second best fit model in a noise analysis simulation to identify and simulate an optimal circuit.