Results 271 to 280 of about 2,318,963 (319)

Atomic decomposition of vector measures

Siberian Mathematical Journal, 1990
Let F be a K-space [cf. \textit{L. V. Kantorovich, B. Z. Vulikh} and \textit{A. G. Pinsker}, Usp. Mat. Nauk 6, Nr. 3(43), 31-98 (1951; Zbl 0043.332); English translation in Amer. Math. Soc., Transl., II. Ser. 27, 51-124 (1963; Zbl 0125.341)]. The paper deals with an atomic structure of the set F-bva(\({\mathcal A},Y)\) of measures (finitely additive ...
Kusraev, A. G., Malyugin, S. A.
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Lexical decomposition meets conceptual atomism

Lingue e linguaggio, 2012
180
Acquaviva, Paolo, Panagiotidis, Phoevos, Acquaviva, Paolo, Panagiotidis, Phoevos   +3 more
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Wind power prediction using a novel model on wavelet decomposition-support vector machines-improved atomic search algorithm

, 2020
Wind power output is highly volatile and intermittent owing to the characteristics of wind energy. Large-scale wind power integration affects the stability of entire power system. Accurate wind power prediction facilitates to utilize wind energy, improve
Ling-ling Li, Yun-Biao Chang, M. Tseng, Jiaqi Liu, M. Lim   +4 more
semanticscholar   +1 more source

The roaming atom pathway in formaldehyde decomposition

The Journal of Chemical Physics, 2006
We present a detailed experimental and theoretical investigation of formaldehyde photodissociation to H2 and CO following excitation to the 2141 and 2143 transitions in S1. The CO velocity distributions were obtained using dc slice imaging of single CO rotational states (v=0, jCO=5–45).
Sridhar A, Lahankar, Steven D, Chambreau, Dave, Townsend, Frank, Suits, John, Farnum, Xiubin, Zhang, Joel M, Bowman, Arthur G, Suits   +7 more
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Atomic decomposition with evolutionary pursuit

Digital Signal Processing, 2003
Abstract An atomic decomposition of a signal is an expression of the signal as a superposition of a parametric collection of waveforms. Basis expansions, especially orthogonal cases such as Fourier and wavelet bases, are the most commonly used atomic models.
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Atomic decomposition-based SAR imaging technique

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
The conventional SAR imaging algorithms are developed based on specified imaging geometry models, and these algorithms become more complex considering finer resolution or more complicated geometry. The quality of the product is measured by resolution, PSLR and ISLR, etc. without regard to its application.
Yesheng Gao, Kaizhi Wang, Xingzhao Liu, Wenxian Yu   +3 more
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Sparse Non-Smooth Atomic Decomposition of Quasi-Banach Lattices

Journal of Fourier Analysis and Applications, 2022
N. Hatano, Ryota Kawasumi, Y. Sawano
semanticscholar   +1 more source

Face detection by optimal atomic decomposition

SPIE Proceedings, 2005
Atomic decompositions are lower-cost alternatives to the principal component analysis (PCA) in tasks where sparse signal representation is required. In pattern classifications tasks, e.g. face detection, a careful selection of atoms is needed in order to ensure an optimal and fast-operating decomposition to be used in the feature extraction stage.
Vladislav Uzunov, Atanas Gotchev, Karen Egiazarian, Jaakko Astola   +3 more
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Atomic Decomposition and Composition Operators on Variable Exponent Bergman Spaces

Mediterranean Journal of Mathematics, 2021
Zi-cong Yang, Ze‐hua Zhou
semanticscholar   +1 more source

Atomic decomposition from S-functions

2001
In this section we prove the following: Theorem 5.1. Let $$ \left\{ {\varphi _1 ,\varphi _2 , \cdots ,\varphi _J } \right\} \subset S $$ (5.1) and $$ \sup \left\{ {\sum\limits_{i = 1}^J {\left| {F\varphi _i \left( {t\xi } \right)} \right|} :t > 0} \right\} > 0{\rm{ }}for{\rm{ }}any{\rm{ }}\xi \in {\rm{R}}^n \backslash \left\{ 0 \right\}. $$
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