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pro vyhledávání: '"adaptive projected subgradient method"'
Akademický článek
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Publikováno v:
ICASSP
Hybrid analog-/digital beamforming architectures are a promising means of reducing power consumption and hardware costs in large multi-antenna transceivers. However, channel estimation becomes more complicated compared with conventional (fully-digita
Autor:
Masahiro Yukawa, Stefan Valentin, Slawomir Stanczak, Renato L. G. Cavalcante, Martin Kasparick
Publikováno v:
IEEE Transactions on Vehicular Technology. 65:5461-5473
In this paper, we address the problem of reconstructing coverage maps from path-loss measurements in cellular networks. We propose and evaluate two kernel-based adaptive online algorithms as an alternative to typical offline methods. The proposed alg
Publikováno v:
MMSP
In this paper, we present a novel iterative MPEG super-resolution method based on an embedded constraint version of adaptive projected subgradient method [Yamada & Ogura 2003]. We propose an efficient operator that approximates convex projection onto
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 5:739-753
We propose a non-hierarchical decentralized algorithm for the asymptotic minimization of possibly time-varying convex functions. In our method, each agent in a network has a private, local (possibly time-varying) cost function, and the objective is t
Conference
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Publikováno v:
ICASSP
This paper is concerned with the mean-square performance of the hyperslab-based adaptive projected subgradient method, a set theoretic estimation tool that has been successfully applied in a wide variety of signal processing tasks. Using energy-conse
Publikováno v:
ICASSP
We present an algorithm that minimizes asymptotically a sequence of non-negative convex functions over diffusion networks. To account for possible node failures, position changes, and/or reachability problems (because of moving obstacles, jammers, et
Autor:
Renato L. G. Cavalcante, Isao Yamada
Publikováno v:
ICASSP (3)
We introduce adaptive linear filters based on the adaptive projected subgradient method that are suitable for online implementation of multiple access interference (MAI) suppression in OSTBC-MIMO systems. The proposed adaptive filters track the optim