L2 and L∞ optimal downsampling from system theoretic viewpoint

Hanumant Shekhawat; Gjerrit Meinsma

L2 and L∞ optimal downsampling from system theoretic viewpoint

Hanumant Shekhawat
, Gjerrit Meinsma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

153 Downloads (Pure)

Abstract

Downsampling is the process of reducing the sampling rate of a discrete signal. It has many applications in image processing, audio, radar etc. The reduction factor of the sampling rate can be an integer or a rational greater than one. This paper describes how sampled data system theory can be used to design an L2/L∞ optimal downsampler which reduces the sampling rate by an positive integer factor M from a given fast sampler sampling at h′ = h/M.

Original language	Undefined
Title of host publication	Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems
Place of Publication	Melbourne
Publisher	Think Business Events
Pages	215
Number of pages	8
ISBN (Print)	978-0-646-58062-3
Publication status	Published - Jul 2012
Event	20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012 - Melbourne, Australia Duration: 9 Jul 2012 → 13 Jul 2012 Conference number: 20

Publication series

Name
Publisher	Think Business Events

Conference

Conference	20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012
Abbreviated title	MTNS
Country/Territory	Australia
City	Melbourne
Period	9/07/12 → 13/07/12

Keywords

EWI-22849
Sampled-data systems
IR-83490
METIS-296202
Lifting

Access to Document

http://eprints.eemcs.utwente.nl/secure2/00022849/01/MTNS2012_0215_paper.pdf

Cite this

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title = "L2 and L∞ optimal downsampling from system theoretic viewpoint",

abstract = "Downsampling is the process of reducing the sampling rate of a discrete signal. It has many applications in image processing, audio, radar etc. The reduction factor of the sampling rate can be an integer or a rational greater than one. This paper describes how sampled data system theory can be used to design an L2/L∞ optimal downsampler which reduces the sampling rate by an positive integer factor M from a given fast sampler sampling at h′ = h/M.",

keywords = "EWI-22849, Sampled-data systems, IR-83490, METIS-296202, Lifting",

author = "Hanumant Shekhawat and Gjerrit Meinsma",

year = "2012",

month = jul,

language = "Undefined",

isbn = "978-0-646-58062-3",

publisher = "Think Business Events",

pages = "215",

booktitle = "Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems",

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Shekhawat, H & Meinsma, G 2012, L2 and L∞ optimal downsampling from system theoretic viewpoint. in Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems. Think Business Events, Melbourne, pp. 215, 20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012, Melbourne, Victoria, Australia, 9/07/12. <http://eprints.eemcs.utwente.nl/secure2/00022849/01/MTNS2012_0215_paper.pdf>

TY - GEN

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AU - Meinsma, Gjerrit

N1 - Conference code: 20

PY - 2012/7

Y1 - 2012/7

N2 - Downsampling is the process of reducing the sampling rate of a discrete signal. It has many applications in image processing, audio, radar etc. The reduction factor of the sampling rate can be an integer or a rational greater than one. This paper describes how sampled data system theory can be used to design an L2/L∞ optimal downsampler which reduces the sampling rate by an positive integer factor M from a given fast sampler sampling at h′ = h/M.

AB - Downsampling is the process of reducing the sampling rate of a discrete signal. It has many applications in image processing, audio, radar etc. The reduction factor of the sampling rate can be an integer or a rational greater than one. This paper describes how sampled data system theory can be used to design an L2/L∞ optimal downsampler which reduces the sampling rate by an positive integer factor M from a given fast sampler sampling at h′ = h/M.

KW - EWI-22849

KW - Sampled-data systems

KW - IR-83490

KW - METIS-296202

KW - Lifting

M3 - Conference contribution

SN - 978-0-646-58062-3

SP - 215

BT - Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems

PB - Think Business Events

CY - Melbourne

T2 - 20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012

Y2 - 9 July 2012 through 13 July 2012

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