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https://doi.org/10.1109/iscas....
Article . 2002 . Peer-reviewed
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https://dx.doi.org/10.1109/isc...
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Roundoff-noise shaping in filter design

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 07 Nov 2002Publisher:Presses Polytech. Univ. RomandesJournal:2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), volume 4, pages 57-60
Authors: George A. Constantinides; Peter Y. K. Cheung; Wayne Luk;

doi: 10.1109/iscas.2000.858687

Roundoff-noise shaping in filter design

Abstract

This paper presents a technique for the spectral shaping of roundoff noise in fixed-point implementations of digital filters. An automated feasibility test is introduced, in order to decide whether a given filter realisation meets user-specified constraints on the roundoff noise power spectrum. This feasibility test is used by an algorithm for optimization of individual signal widths within a filter structure. Some results are presented, illustrating how the optimization produces filters closely meeting the specification, leading to significant improvements in implementation area.

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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!
5
Average
Top 10%
Average