Averaged Iterative Water-Filling Algorithm: Robustness and Convergence
نویسندگان
چکیده
منابع مشابه
Spectrally Compatible Iterative Water Filling
1Access Networks Division, Alcatel, Francis Wellesplein 1, Antwerpen 2018, Belgium 2Research & Innovation Department, Alcatel, Francis Wellesplein 1, Antwerpen 2018, Belgium 3Department of Telecommunication Engineering, University of Pisa, 56122 Pisa, Italy 4Department of Information Engineering, University of Pisa, 56122 Pisa, Italy 5 School of Information Technology and Electrical Engineering...
متن کاملWeak Convergence of Mann Iterative Algorithm for two Nonexpansive mappings
The mann fixed point algorithm play an importmant role in the approximation of fixed points of nonexpansive operators. In this paper, by considering new conditions, we prove the weak convergence of mann fixed point algorithm, for finding a common fixed point of two nonexpansive mappings in real Hilbert spaces. This results extend the privious results given by Kanzow and Shehu. Finally, we give ...
متن کاملCorrection of Convergence Proof for Iterative Water-Filling in Gaussian MIMO Broadcast Channels
This paper first identifies a flaw in the proof of the convergence theorem of Algorithm 2 of the paper by Jindal et al. [“Sum power iterative water-filling for multi-antenna Gaussian broadcast channels,” IEEE Trans. Inf. Theory, vol. 54, no. 4, pp. 1570–1580, Apr. 2005] and then presents a corrected convergence proof for that algorithm.
متن کاملConvergence of the Iterative Rational Krylov Algorithm
The iterative rational Krylov algorithm (IRKA) of Gugercin et al. (2008) [8] is an interpolatory model reduction approach to the optimal H2 approximation problem. Even though the method has been illustrated to show rapid convergence in various examples, a proof of convergence has not been provided yet. In this note, we show that in the case of state-space-symmetric systems, IRKA is a locally co...
متن کاملSemi-convergence of an Iterative Algorithm
An iterative method is introduced for solving noisy, ill-conditioned inverse problems. Analysis of the semi-convergence behavior identifies three error components iteration error, noise error, and initial guess error. A derived expression explains how the three errors are related to each other relative to the number of iterations. The Standard Tikhonov regularization method is just the first it...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2011
ISSN: 1053-587X,1941-0476
DOI: 10.1109/tsp.2011.2113341