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Selective filters using least-mean-square approximation technique

Selective filters using least-mean-square approximation technique

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A new clan of all-pole lowpass filters having a flat magnitude characteristic at the origin and at a frequency ω0 in the pass-band is presented. The remaining degree of freedom is used to minimise the characteristic function over the passband using least-mean-square norm. It is shown that the magnitude characteristic of new filters is superior to those for the Butterworth and transitional Butterworth-Cheby̅shev filters, both in the passband and in the stopband.

References

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      • G.C. Temes , D.A. Calahan . Computer-aided network optimization: The state of the art. Proc. IEEE , 1832 - 1863
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      • V. Jovanović , D. Rabrenović . Lowpass-filter flat magnitude characteristic with sharp cutoff. Electron. Lett.
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