Theoretical Performance of Low Rank Adaptive Filters in the Large Dimensional Regime
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2019.2906418
Abstract: This paper proposes a new approximation of the theoretical signal to interference plus noise ratio (SINR) loss of the low-rank (LR) adaptive filter built on the eigenvalue decomposition of the sample covariance matrix. This new… read more here.
Keywords: large dimensional; low rank; rank adaptive; dimensional regime ... See more keywords
Decentralized Rank-Adaptive Matrix Factorization—Part II: Convergence Analysis
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DOI: 10.1109/tsp.2024.3465049
Abstract: The matrix factorization (MF) model has a wide range of applications in signal processing and machine learning. Existing decentralized MF methods require to know the matrix rank a prior, which however is difficult to obtain… read more here.
Keywords: part; tex math; rank adaptive; inline formula ... See more keywords