Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing
Published in IEEE Signal Processing Magazine, 2023
Recommended citation: V. W. Neo, S. Redif, J. G. McWhirter, J. Pestana, I. K. Proudler, S. Weiss, and P. A. Naylor, "Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing", IEEE Signal Process. Mag., vol. 40, no. 7, 2023. doi: 10.1109/MSP.2023.3269200
This feature article introduces polynomial matrix eigenvalue decomposition (PEVD) and applications to multichannel broadband signal processing.
Recommended citation: ‘V. W. Neo, C. Evers, and P. A. Naylor, “Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing”, IEEE Signal Process. Mag., vol. 40, no. 7, 2023. doi: 10.1109/MSP.2023.3269200’