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- W1531453851 abstract "A constrained least mean square (LMS) algorithm was adapted by Godara and Gray (1989) to take advantage of the Toeplitz nature of the array correlation matrix (ACM). This algorithm, which they termed the structured gradient method, was shown to have superior convergence properties, as well as reduced weight noise. This paper explores the nature of the ACM for a circular array and the structured gradient algorithm is adapted and tested. The convergence properties and computational expense are investigated." @default.
- W1531453851 created "2016-06-24" @default.
- W1531453851 creator A5064609469 @default.
- W1531453851 date "2003-01-22" @default.
- W1531453851 modified "2023-09-27" @default.
- W1531453851 title "Structured gradient method applied to circular arrays" @default.
- W1531453851 cites W2135478784 @default.
- W1531453851 doi "https://doi.org/10.1109/acssc.1999.832382" @default.
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