Results 251 to 260 of about 5,509,950 (300)

Wavelet Theory

2011
Wavelet theory lies on the crossroad of pure and computational mathematics, with connections to audio and video signal processing, data compression, and information transmission. The present book is devoted to a systematic exposition of modern wavelet theory.
Novikov Igor, Protasov Vladimir, Skopina Maria   +2 more
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Wavelet Trees: From Theory to Practice

2011 First International Conference on Data Compression, Communications and Processing, 2011
The \emph{wavelet tree} data structure is a space-efficient technique for rank and select queries that generalizes from binary characters to an arbitrary multicharacter alphabet. It has become a key tool in modern full-text indexing and data compression because of its capabilities in compressing, indexing, and searching.
GROSSI, ROBERTO, J. S. Vitter, B. Xu
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Wavelet Theory and Application Summarizing

2011
The wavelet analysis is the development based on Fourier transform. And it is a breakthrough of the Fourier analysis. The paper reviews the development history of wavelet analysis. Then it discusses the similarities and differences of Fourier transform and wavelet theory.
Hong-Yu Feng, Jianping Wang, Yan-Cui Li, Jun Chen   +3 more
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The Theory and Use of the Quaternion Wavelet Transform

Journal of Mathematical Imaging and Vision, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Theory of Dual-Tree Complex Wavelets

IEEE Transactions on Signal Processing, 2008
We study analyticity of the complex wavelets in Kingsbury's dual-tree wavelet transform. A notion of scaling transformation function that defines the relationship between the primal and dual scaling functions is introduced and studied in detail. The analyticity property is examined and dealt with via the transformation function. We separate analyticity
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Theory of regular M-band wavelet bases

IEEE Transactions on Signal Processing, 1993
Summary: Orthonormal \(M\)-band wavelet bases have been constructed and applied by several authors. This paper makes three main contributions. First, it generalizes the minimal length \(K\)-regular 2-band wavelets of Daubechies in the \(M\)-band case by deriving explicit formulas for \(K\)-regular \(M\)-band scaling filters.
Steffen, P., Heller, Peter Niels, Gopinath, Ramesh A., Burrus, C. Sidney   +3 more
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Information theory, wavelets, and image compression

International Journal of Imaging Systems and Technology, 1996
We examine practical, theoretical, and speculative aspects of wavelet transform-based image compression. Section I summarizes objectives and compares experimental results using a JPEG-standard cosine-based algorithm with a wavelet based algorithm developed at ISS.
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Wavelet Theory and Application

1993
Introduction A. Laine. Local Cosine Transform - a Method for the Reduction of the Blocking Effect in JPEG G. Aharoni, A. Averbuch, R. Coifman, M. Israeli. Local Enhancement of Compressed Images B.D. Jawerth, M.L. Hilton, T.L. Huntsberger. Image Analysis by Wavelet-Type Transforms: Group Theoretic Approach J. Segman, Y.Y. Zeevi.
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Two-Wavelet Theory

2002
The results hitherto given are for localization operators L F,φ : X → X defined in terms of one admissible wavelet φ for the square-integrable representation π: G → U(X) of G on X. In this chapter we introduce the notion of a localization operator L F,φψ : X → X, which is defined in terms of a symbol F in L l (G) and two admissible wavelets φ and ψ for
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Concentration Operators in the Dunkl Wavelet Theory

Mediterranean Journal of Mathematics, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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