Results 201 to 210 of about 5,810,036 (263)
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Some remarks on the Kronecker product of graphs

Information Processing Letters, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yves Métivier
exaly   +4 more sources

Inequalities for the Kronecker product of matrices

Annals of Functional Analysis, 2022
Fuad Kittaneh, Kittaneh Fuad
exaly   +2 more sources

Shuffles of permutations and the Kronecker product

Graphs and Combinatorics, 1985
In this paper the authors have obtained a general result relating to shuffles of permutation and Kronecker products which leads to combinatorial interpretation of the Kronecker coefficient \(C_{i,j,k}=\) where \(S_ i\) are the Schur functions. Most of the paper is devoted to the earlier work in this field with new proofs and interesting interpretations.
J Remmel
exaly   +2 more sources

A Kronecker product CLMS algorithm for adaptive beamforming

Digit. Signal Process., 2021
Marcos Matsuo   +2 more
exaly   +2 more sources

Receiver Design for MIMO Unsourced Random Access With Sparse Kronecker-Product Coding

IEEE Wireless Communications Letters, 2023
In this letter, we extend the sparse Kronecker-product (SKP) coding scheme, originally designed for the additive white Gaussian noise (AWGN) channel, to multiple input multiple output (MIMO) unsourced random access (URA).
Zeyu Han   +3 more
semanticscholar   +1 more source

Kronecker Product Multichannel Linear Filtering for Adaptive Weighted Prediction Error-Based Speech Dereverberation

IEEE/ACM Transactions on Audio Speech and Language Processing, 2022
Reverberation, whichis caused by late reflections, impairs not only speech quality but also intelligibility. Consequently, dereverberation, a process to mitigate the impact of reverberation, has attracted significant research interests.
Gongping Huang   +3 more
semanticscholar   +1 more source

Time Difference of Arrival Estimation Based on a Kronecker Product Decomposition

IEEE Signal Processing Letters, 2021
Time difference of arrival (TDOA) estimation, which often serves as the fundamental step for a source localization or a beamforming system, has a significant practical importance in a wide spectrum of applications.
Xianrui Wang   +4 more
semanticscholar   +1 more source

Nearest Kronecker Product Decomposition Based Linear-in-The-Parameters Nonlinear Filters

IEEE/ACM Transactions on Audio Speech and Language Processing, 2021
A linear-in-the-parameters nonlinear filter consists of a functional expansion block, which expands the input signal to a higher dimensional space nonlinearly, followed by an adaptive weight network.
Sankha Subhra Bhattacharjee   +1 more
semanticscholar   +1 more source

Identification of Room Acoustic Impulse Responses via Kronecker Product Decompositions

IEEE/ACM Transactions on Audio Speech and Language Processing, 2022
The identification of room acoustic impulse responses represents a challenging problem in the framework of many important applications related to the acoustic environment, like echo cancellation, noise reduction, and microphone arrays, among others.
Laura-Maria Dogariu   +3 more
semanticscholar   +1 more source

The Kronecker Product

2020
Matrices arising from 2D and 3D problems sometimes have a Kronecker product structure. Identifying a Kronecker structure can be very rewarding since it simplifies the derivation of properties of such matrices.
Tom Lyche, Georg Muntingh, Øyvind Ryan
openaire   +2 more sources

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