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Wavelets [Book] : a concise guide / Amir-Homayoon Najmi.

By: Material type: TextTextPublication details: Baltimore : Johns Hopkins University Press, 2012.Description: xxix, 270 p. : ill. ; 24 cmISBN:
  • 9781421404950 (hdbk. : alk. paper)
  • 1421404958 (hdbk. : alk. paper)
  • 9781421404967 (pbk. : alk. paper)
  • 1421404966 (pbk. : alk. paper)
  • 9781421405599 (electronic)
  • 1421405598 (electronic)
Subject(s): DDC classification:
  • 515.2433 23
Other classification:
  • 515.2433
Summary: Wavelets are used in processing digital signals and imagery from myriad sources. They form the backbone of the JPEG2000 compression standard, and the Federal Bureau of Investigation uses biorthogonal wavelets to compress and store its vast database of fingerprints. Najmi provides the mathematics that demonstrate how wavelets work, describes how to construct them, and discusses their importance as a tool to investigate and process signals and imagery. He reviews key concepts such as frames, localizing transforms, orthogonal and biorthogonal bases, and multi-resolution. His examples include the Haar, the Shannon, and the Daubechies families of orthogonal and biorthogonal wavelets.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Junaid Zaidi Library, COMSATS University Islamabad 515.2433 NAJ-W (Browse shelf(Opens below)) Available 44925
Total holds: 0

Wavelets are used in processing digital signals and imagery from myriad sources. They form the backbone of the JPEG2000 compression standard, and the Federal Bureau of Investigation uses biorthogonal wavelets to compress and store its vast database of fingerprints. Najmi provides the mathematics that demonstrate how wavelets work, describes how to construct them, and discusses their importance as a tool to investigate and process signals and imagery. He reviews key concepts such as frames, localizing transforms, orthogonal and biorthogonal bases, and multi-resolution. His examples include the Haar, the Shannon, and the Daubechies families of orthogonal and biorthogonal wavelets.

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