A statistical multiparameter sensitivity measure for notch filters

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 M...

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Bibliographic Details
Published inIEEE transactions on circuits and systems Vol. 23; no. 3; pp. 173 - 176
Main Authors Laker, K., Ghausi, M.
Format Journal Article
LanguageEnglish
Published IEEE 01.03.1976
Subjects
Convergence
Electric variables measurement
Filters
Frequency measurement
Gain measurement
Lakes
Monte Carlo methods
Shape measurement
Taylor series
Transfer functions
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Summary: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.
ISSN:0098-4094
1558-1276
DOI:10.1109/TCS.1976.1084187