We propose a framework for bilinear multiplier operators defined via the (bivariate) spectral theorem. Under this framework, we prove Coifman-Meyer type multiplier theorems and fractional Leibniz rules. Our theory applies to bilinear multipliers associated with the discrete Laplacian on general bi-radial bilinear Dunkl multipliers, and to bilinear multipliers associated with the Jacobi expansions.
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http://dx.doi.org/10.1007/s12220-017-9945-6 | DOI Listing |
PLoS One
November 2024
School of Applied Digital Technology, Mae Fah Luang University, Chiang Rai, Thailand.
Non-linear and non-stationary signals are analyzed and processed in the time-frequency (TF) domain due to interpretation simplicity. Wigner-Ville distribution (WVD) delivers a very sharp resolution of non-stationary signals in the TF domain. However, cross-terms occur between true frequency modes due to their bilinear nature.
View Article and Find Full Text PDFJ Chem Phys
July 2022
Department of Chemistry, Aarhus University, Langelandsgade 140, DK 8000 Aarhus C, Denmark.
We have extended cluster perturbation (CP) theory to comprehend the Lagrangian framework of coupled cluster (CC) theory and derived the CP Lagrangian energy series (L) where the 2n + 1/2n + 2 rules for the cluster amplitudes and multipliers are used to get the energy corrections. We have also developed the variational CP (L) series, where the total cluster amplitudes and multipliers are determined through the same orders as in the L series, but the energy is obtained by inserting the total cluster amplitudes and multipliers in the Lagrangian. The energies of the L series have errors that are bilinear in the errors of the total cluster amplitudes and multipliers.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
March 2023
Saliency detection is an important but challenging task in the study of computer vision. In this article, we develop a new unsupervised learning approach for the saliency detection by an intrinsic regularization model, in which the Schatten-2/3 norm is integrated with the nonconvex sparse l norm. The l -norm is shown to be capable of detecting consistent values among sparse foreground by using image geometrical structure and feature similarity, while the Schatten-2/3 norm can capture the lower rank of background by matrix factorization.
View Article and Find Full Text PDFBrief Bioinform
July 2021
School of Computer Science and Engineering, Central South University, China.
With the development of high-throughput technology and the accumulation of biomedical data, the prior information of biological entity can be calculated from different aspects. Specifically, drug-drug similarities can be measured from target profiles, drug-drug interaction and side effects. Similarly, different methods and data sources to calculate disease ontology can result in multiple measures of pairwise disease similarities.
View Article and Find Full Text PDFJ Geom Anal
January 2018
1Mathematical Institute, Universität Bonn, Endenicher Allee 60, 53115 Bonn, Germany.
We propose a framework for bilinear multiplier operators defined via the (bivariate) spectral theorem. Under this framework, we prove Coifman-Meyer type multiplier theorems and fractional Leibniz rules. Our theory applies to bilinear multipliers associated with the discrete Laplacian on general bi-radial bilinear Dunkl multipliers, and to bilinear multipliers associated with the Jacobi expansions.
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