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• W2082203498 abstract "Signal-to-noise ratio (SNR) is an important design metric for switched-capacitor sigma-delta modulators (SC-SDMs). In an automatic synthesis environment, fast SNR computation is of paramount importance. So far the main SNR computation method has been behavioral simulation. Other less accurate methods are based on empirical formulas. These methods could not contribute too much to the enhancement of synthesis efficiency. In this work a highly efficient and purely symbolic SNR computation method is proposed. The difficulty in the computation of noise power (requiring integration of a rational function) is overcome by Taylor polynomial approximation. Together with a symbolic loop-transfer analysis tool, the SNR can be computed fully symbolically. This novel computation method is applied to variational SC-SDM analysis. The effectiveness and efficiency are compared to behavioral Monte Carlo simulation results." @default.
• W2082203498 created "2016-06-24" @default.
• W2082203498 creator A5007977218 @default.
• W2082203498 creator A5072810436 @default.
• W2082203498 date "2014-01-01" @default.
• W2082203498 modified "2023-09-23" @default.
• W2082203498 title "Symbolic computation of SNR for variational analysis of sigma-delta modulator" @default.
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• W2082203498 doi "https://doi.org/10.1109/aspdac.2014.6742931" @default.
• W2082203498 hasPublicationYear "2014" @default.
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