Eigenvalue Decomposition of a Parahermitian Matrix: Extraction of Analytic Eigenvectors
Author:
Affiliation:
1. Centre for Signal & Image Processing (CeSIP), Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow, U.K.
2. Institute for Digital Communications (IDCOM), University of Edinburgh, Edinburgh, U.K.
Funder
Engineering and Physical Sciences Research Council
MOD University Defence Research Collaboration in Signal Processing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/78/10040758/10107473.pdf?arnumber=10107473
Reference56 articles.
1. Polynomial GSVD Beamforming for Two-User Frequency-Selective MIMO Channels
2. MIMO Precoding for Filter Bank Modulation Systems Based on PSVD
3. Enforcing Eigenvector Smoothness for a Compact DFT-Based Polynomial Eigenvalue Decomposition
4. Corrections to “On the Existence and Uniqueness of the Eigenvalue Decomposition of a Parahermitian Matrix” [May 18 2659-2672]
5. On the Existence and Uniqueness of the Eigenvalue Decomposition of a Parahermitian Matrix
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