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WaveletsA Concise Guide\nAuthor(s): Amir-Homayoon Najmi\nFormat: Hardback\nPublisher: Johns Hopkins University Press, United States\nImprint: Johns Hopkins University Press\nISBN-13: 9781421404950, 978-1421404950\nSynopsis\nIntroduced nearly three decades ago as a variable resolution alternative to the Fourier transform, a wavelet is a short oscillatory waveform for analysis of transients. The discrete wavelet transform has remarkable multi-resolution and energy-compaction properties. Amir-Homayoon Najmi's introduction to wavelet theory explains this mathematical concept clearly and succinctly. 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.
WaveletsA Concise Guide\nAuthor(s): Amir-Homayoon Najmi\nFormat: Hardback\nPublisher: Johns Hopkins University Press, United States\nImprint: Johns Hopkins University Press\nISBN-13: 9781421404950, 978-1421404950\nSynopsis\nIntroduced nearly three decades ago as a variable resolution alternative to the Fourier transform, a wavelet is a short oscillatory waveform for analysis of transients. The discrete wavelet transform has remarkable multi-resolution and energy-compaction properties. Amir-Homayoon Najmi's introduction to wavelet theory explains this mathematical concept clearly and succinctly. 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.
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