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A new least-square approximation function for analog and digital filtering applications

Authors: Calisto Schwedersky; Sidnei Noceti Filho;

A new least-square approximation function for analog and digital filtering applications

Abstract

In this paper is presented a new approximation function, based on a least-squares function, which minimizes the loss at the passband. With the proposed function are maximized the loss at the stopband. This optimization produces imaginary zeros, which makes it closer to the ideal function of a brick-wall filter. Comparisons are made with other classical approximation functions used to implement analog and digital IIR filters obtained by bilinear transformation, which demonstrate the advantages of the proposed function. Tables are presented that simplify the determination of these functions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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