Results 221 to 230 of about 13,536 (264)

Discrete Wavelets and Fast Wavelet Transform

1991
The wavelet analysis, introduced by J. MORLET and Y. MEYER in the middle of the eighties, is a processus of time-frequency (or time-scale) analysis which consists of decomposing a signal into a basis of functions (o jk ) called wavelets. These wavelets are in turn deduced from the analyzing wavelet o by dilatations and translations. More precisely:
Bonnet, Pierre, Rémond, Didier
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Wavelets, Wavelet Filters, and Wavelet Transforms

2013
Spectral characteristics of speech are known to be particularly useful in describing a speech signal such that it can be efficiently reconstructed after coding or identified for recognition. The wavelets are considered one of such efficient methods for representing the spectrum of speech signals.
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Wavelet and wavelet packet compression of electrocardiograms

IEEE Transactions on Biomedical Engineering, 1997
Wavelets and wavelet packets have recently emerged as powerful tools for signal compression. Wavelet and wavelet packet-based compression algorithms based on embedded zerotree wavelet (EZW) coding are developed for electrocardiogram (ECG) signals, and eight different wavelets are evaluated for their ability to compress Holter ECG data.
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Wavelets in identification

IFAC Proceedings Volumes, 1994
Abstract This is a tutorial about nonparametric nonlinear system identification. Advantages and limitations of this approach are discussed from the engineer’s point of view. Classical as well as modem techniques are discussed. Both practical and mathematical issues are investigated.
A. Juditsky, Q. Zhang, B. Delyon, P.-Y. Glorennec, A. Benveniste   +4 more
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The Wavelet Matrix

2012
The wavelet tree (Grossi et al., SODA 2003) is nowadays a popular succinct data structure for text indexes, discrete grids, and many other applications. When it has many nodes, a levelwise representation proposed by Makinen and Navarro (LATIN 2006) is preferable. We propose a different arrangement of the levelwise data, so that the bitmaps are shuffled
Francisco Claude, Gonzalo Navarro 0001
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Wavelets and wavelet thresholding

2001
Every theory starts from an idea. The wavelet idea is simple and clear. At a first confrontation, the mathematics that work out this idea might appear strange and difficult. Nevertheless, after a while, this theory leads to insight in the mechanism in wavelet based algorithms in a variety of applications.
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Wavelet Rasterization

Computer Graphics Forum, 2011
AbstractWe present a method for analytically calculating an anti‐aliased rasterization of arbitrary polygons or fonts bounded by Bézier curves in 2D as well as oriented triangle meshes in 3D. Our algorithm rasterizes multiple resolutions simultaneously using a hierarchical wavelet representation and is robust to degenerate inputs.
Josiah Manson, Scott Schaefer
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Wavelets for a vision

Proceedings of the IEEE, 1996
Early on, computer vision researchers have realized that multiscale transforms are important to analyze the information content of images. The wavelet theory gives a stable mathematical foundation to understand the properties of such multiscale algorithms.
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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 Transforms and Wavelet Approximations

1994
We summarize properties of classical wavelet transforms and Wavelet Stieltjes transforms. Wavelet approximation problems are also considered for Wavelet Stieltjes transforms. This will give rise to some characterizations of general signals.
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