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A Multiresolution Analysis of Temporal Logic

25th ACM International Conference on Hybrid Systems: Computation and Control, 2022
Houssam Abbas, Richard Pelphrey
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Smooth Multiresolution Analysis

2002
The axiomatic framework of multiresolution analysis is Fourier analysis in L 2, and the convergence of the wavelet expansion is therefore in the L 2-norm. The smoothness properties of the scaling function and of the mother wavelet are, however, of great interest to obtain fast L 2-convergence of the wavelet expansion, or to obtain pointwise convergence
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Multiresolution Analysis with Pulses

2002
Multiresolution analysis has recently received considerable attention in relation to wavelets. The word “multiresolution” is appropriate in so far as wavelets are local in some sense, and therefore have exponentially decaying impulse response. In image processing it is clear that edges and impulses yield undesirable synthetic features in partially ...
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Wavelets; Multiresolution Analysis

2016
It has been shown in Chap. 12 on time-frequency analysis that how decomposition on a wavelet basis allows highlighting effectively changes with time of the properties of a signal. Wavelet bases with compact support, which could be used by simple filtering operations, have been searched.
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Multiresolution Color Image Analysis

Color and Imaging Conference, 1995
Hubert Konik   +2 more
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Multiscale and multiresolution analysis

In this chapter, we describe the Gaussian scale-space in the spatial and intensity parameters, and we discuss the scale-selection algorithms for blob and edge detections. Image resolution is to some extent an artifact of the camera used, and with no prior knowledge, we seldomly can predict the size of objects in pixels in images.
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An Overview of Wavelet Based Multiresolution Analyses

SIAM Review, 1994
Wim Sweldens, Björn Jawerth
exaly  

Multiresolution Representation of Data: A General Framework

SIAM Journal on Numerical Analysis, 1996
Ami Harten
exaly  

Multiresolution analysis on local fields

Journal of Mathematical Analysis and Applications, 2004
Ning Jin, Dengfeng Li
exaly  

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