Wavelets, its Application and Technique in signal and image processing

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Wavelets, its Application and Technique in signal and image processing

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Abstract

Wavelets are functions that satisfy certain mathematical requirement and used in representing data or functions. Wavelets allow complex information such as data compression, signal recognition, signal and image processing, music and computer graphics etc. The wavelet decomposition analysis is used most often in wavelet signal processing. It is used in signal compression as well as in signal identification, although in the latter case, reconstruction of the original is not always required. The decomposition separates a signal into components at various scales corresponding to successive octave frequencies. Each component can be processed individually by a different algorithm. In this work we first try to introduce wavelet and then some of its applications and technique in signal and image processing. Here we also approach a new filtering technique.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. M. Rafiqul Islam. . "Wavelets, its Application and Technique in signal and image processing". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 4).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST Classification I.4.8
I.4.7
Version of record

v1.2

Issue date
March 13, 2011

Language
English
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Wavelets, its Application and Technique in signal and image processing

Dr. Islam
Dr. Islam Khulna University