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A Scalable Resampling Architecture

Authors: Mihail Petrov; Manfred Glesner;

A Scalable Resampling Architecture

Abstract

This paper proposes a resampler architecture which employs the filtering the input signal with a FIR filter whose coefficients depend on the phase of the interpolated sample relative to the input samples. The novelty of this architecture consists in generating the coefficients by using linear interpolation between a number of predefined coefficient sets for equidistant sub-sample phases. The proposed architecture is particularly efficient for multi-channel interpolation, since all channels are resampled simultaneously and the coefficients generation block can be shared. Only the interpolation FIR filter needs to be replicated for each channel.

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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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