MVDR broadband beamforming using polynomial matrix techniques
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7362053/7362087/07362501.pdf?arnumber=7362501
Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Low-Rank Para-Hermitian Matrix EVD via Polynomial Power Method with Deflation;2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP);2023-12-10
2. Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing: A mathematical technique offering new insights and solutions;IEEE Signal Processing Magazine;2023-11
3. Polynomial Procrustes Problem: Paraunitary Approximation of Matrices of Analytic Functions;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04
4. Extension of Power Method to Para-Hermitian Matrices: Polynomial Power Method;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04
5. Eigenvalue Decomposition of a Parahermitian Matrix: Extraction of Analytic Eigenvectors;IEEE Transactions on Signal Processing;2023
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