Projection and interpolation based techniques for structured and impulsive noise filtering

Bishnu Lamichhane; Laura Rebollo - Neira

Projection and interpolation based techniques for structured and impulsive noise filtering

Bishnu Lamichhane
, Laura Rebollo - Neira

Aston University

Research output: Chapter in Book/Published conference output › Chapter

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Abstract

In this chapter we present the relevant mathematical background to address two well defined signal and image processing problems. Namely, the problem of structured noise filtering and the problem of interpolation of missing data. The former is addressed by recourse to oblique projection based techniques whilst the latter, which can be considered equivalent to impulsive noise filtering, is tackled by appropriate interpolation methods.

Original language	English
Title of host publication	New Signal Processing Research
Editors	Takumi Maeda
Publisher	Nova science
Pages	127-158
Number of pages	32
ISBN (Print)	978-1-60456-479-2
Publication status	Published - 1 Oct 2008

Bibliographical note

Keywords

structured noise filtering
interpolation of missing data
oblique projection based techniques
impulsive noise filtering
interpolation methods.

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© 2008 Nova Science Publishers

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Cite this

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title = "Projection and interpolation based techniques for structured and impulsive noise filtering",

abstract = "In this chapter we present the relevant mathematical background to address two well defined signal and image processing problems. Namely, the problem of structured noise filtering and the problem of interpolation of missing data. The former is addressed by recourse to oblique projection based techniques whilst the latter, which can be considered equivalent to impulsive noise filtering, is tackled by appropriate interpolation methods.",

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AU - Rebollo - Neira, Laura

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N2 - In this chapter we present the relevant mathematical background to address two well defined signal and image processing problems. Namely, the problem of structured noise filtering and the problem of interpolation of missing data. The former is addressed by recourse to oblique projection based techniques whilst the latter, which can be considered equivalent to impulsive noise filtering, is tackled by appropriate interpolation methods.

AB - In this chapter we present the relevant mathematical background to address two well defined signal and image processing problems. Namely, the problem of structured noise filtering and the problem of interpolation of missing data. The former is addressed by recourse to oblique projection based techniques whilst the latter, which can be considered equivalent to impulsive noise filtering, is tackled by appropriate interpolation methods.

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KW - interpolation of missing data

KW - oblique projection based techniques

KW - impulsive noise filtering

KW - interpolation methods.

M3 - Chapter

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EP - 158

BT - New Signal Processing Research

A2 - Maeda, Takumi

PB - Nova science

ER -

Projection and interpolation based techniques for structured and impulsive noise filtering

Abstract

Bibliographical note

Keywords

Access to Document

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Cite this