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pro vyhledávání: '"Ali H"'
Publikováno v:
IEEE Signal Processing Letters. 20:1261-1265
The goal of this letter is to propose an adaptive and distributed approach to cooperative sensing for wireless small cell networks. The method uses a basis expansion model of the power spectral density (PSD) to be estimated, and exploits spectral spa
Publikováno v:
IEEE Signal Processing Letters. 18:659-662
An adaptive diffusion augmented complex least mean square (D-ACLMS) algorithm for collaborative processing of the generality of complex signals over distributed networks is proposed. The algorithm enables the estimation of both second order circular
Publikováno v:
IEEE Signal Processing Letters. 12:749-752
This letter shows that the matrix structure with 2/spl times/2 Alamouti sub-blocks remains invariant under several nontrivial matrix operations, including matrix inversion, Schur complementation, Riccati recursion, triangular factorization, and QR fa
Publikováno v:
IEEE Signal Processing Letters. 11:132-135
This letter proposes two new variable step-size algorithms for normalized least mean square and affine projection. The proposed schemes lead to faster convergence rate and lower misadjustment error.
Autor:
Ali H. Sayed, N.R. Yousef
Publikováno v:
IEEE Signal Processing Letters. 7:307-309
The author begins by discussing the fundamental energy relation, then goes on to consider steady state analysis and tracking analysis. Adaptive filtering is also mentioned in the study.