Results 261 to 270 of about 40,887 (301)
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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 +4 more
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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 +4 more
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Wavelet and wavelet Stieltjes transforms
Proceedings of 32nd IEEE Conference on Decision and Control, 2002Some fundamental and useful properties of wavelet transforms are presented. A unified approach for both discrete and continuous time-frequency localization is introduced. >
T. Bielecki, J. Chen, S. Yau, E.B. Lin
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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 +2 more
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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 +2 more
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Wavelets and wavelet thresholding
2001Every 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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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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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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ACM Transactions on Graphics
This paper introduces a novel wavelet-based framework for simulating both single-phase (e.g., smoke) and two-phase (e.g., bubbly water) flows, featuring unified boundary condition handling for free surfaces and solid obstacles. In liquid simulations, conventional pressure projection methods enforce zero-pressure Dirichlet conditions at free surfaces by
Luan Lyu +5 more
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This paper introduces a novel wavelet-based framework for simulating both single-phase (e.g., smoke) and two-phase (e.g., bubbly water) flows, featuring unified boundary condition handling for free surfaces and solid obstacles. In liquid simulations, conventional pressure projection methods enforce zero-pressure Dirichlet conditions at free surfaces by
Luan Lyu +5 more
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NON-MSF A-WAVELETS FROM A-WAVELET SETS
International Journal of Wavelets, Multiresolution and Information Processing, 2013Generalizing the result of Bownik and Speegle [Approximation Theory X: Wavelets, Splines and Applications, Vanderbilt University Press, pp. 63–85, 2002], we provide plenty of non-MSF A-wavelets with the help of a given A-wavelet set. Further, by showing that the dimension function of the non-MSF A-wavelet constructed through an A-wavelet set W ...
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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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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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2005
The complete description of wavelet bases is given such that each of them is generated by the fixed function whose Fourier image is the characteristic function of some set. In particular, for the case of Sobolev spaces wavelet bases with the following property of universal optimality are constructed: subspaces generated by these functions are extremal ...
Nikolay Strelkov, Vladimir Dol'nikov
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The complete description of wavelet bases is given such that each of them is generated by the fixed function whose Fourier image is the characteristic function of some set. In particular, for the case of Sobolev spaces wavelet bases with the following property of universal optimality are constructed: subspaces generated by these functions are extremal ...
Nikolay Strelkov, Vladimir Dol'nikov
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2000
Despite the previous few chapters, the term “wavelets” usually refers to wavelets on ℝ, examples of which we construct in this chapter. The first two sections present the basics of Fourier analysis on ℝ.
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Despite the previous few chapters, the term “wavelets” usually refers to wavelets on ℝ, examples of which we construct in this chapter. The first two sections present the basics of Fourier analysis on ℝ.
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