Abstract
A statistical multiparameter measure suited to the analysis and design of notch filters is described. The measure may be used to analyze and optimize the sensitivity performance of second-order notch filters. Sensitivities evaluated using the approximate measure are compared to those obtained from Monte Carlo analysis. The design of minimum sensitivity second-order notch filters is demonstrated. Finally the recent second-order (high-pass) notch realizations of Boctor and Friend et al. (SAB) are compared.
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