Weighted random sampling and reconstruction in general multivariate trigonometric polynomial spaces

Article Properties
  • Language
    English
  • Publication Date
    2021/12/31
  • Indian UGC (journal)
  • Refrences
    46
  • Wei Li School of Mathematics, Sun Yat-sen University, Guangzhou 510275, Guangdong, P. R. China
  • Jun Xian School of Mathematics, Sun Yat-sen University, Guangzhou 510275, Guangdong, P. R. ChinaGuangdong Province Key Laboratory of Computational Science, Sun Yat-sen University, Guangzhou 510275, Guangdong, P. R. China
Abstract
Cite
Li, Wei, and Jun Xian. “Weighted Random Sampling and Reconstruction in General Multivariate Trigonometric Polynomial Spaces”. Analysis and Applications, vol. 20, no. 05, 2021, pp. 1069-88, https://doi.org/10.1142/s0219530521500330.
Li, W., & Xian, J. (2021). Weighted random sampling and reconstruction in general multivariate trigonometric polynomial spaces. Analysis and Applications, 20(05), 1069-1088. https://doi.org/10.1142/s0219530521500330
Li, Wei, and Jun Xian. “Weighted Random Sampling and Reconstruction in General Multivariate Trigonometric Polynomial Spaces”. Analysis and Applications 20, no. 05 (2021): 1069-88. https://doi.org/10.1142/s0219530521500330.
Li W, Xian J. Weighted random sampling and reconstruction in general multivariate trigonometric polynomial spaces. Analysis and Applications. 2021;20(05):1069-88.
Journal Categories
Science
Mathematics
Technology
Technology (General)
Industrial engineering
Management engineering
Applied mathematics
Quantitative methods
Refrences
Title Journal Journal Categories Citations Publication Date
Title 2016
Title International Journal of Applied Mathematics and Computer Science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2001
An Introduction to Nonharmonic Fourier Series 1980
Universality of deep convolutional neural networks Applied and Computational Harmonic Analysis
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
224 2020
10.1142/S0219530518500124