A
Ami Wiesel
Researcher at Hebrew University of Jerusalem
Publications - 122
Citations - 6171
Ami Wiesel is an academic researcher from Hebrew University of Jerusalem. The author has contributed to research in topics: Estimation of covariance matrices & Covariance. The author has an hindex of 33, co-authored 118 publications receiving 5293 citations. Previous affiliations of Ami Wiesel include University of Michigan & Google.
Papers
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Linear precoding via conic optimization for fixed MIMO receivers
TL;DR: The proposed precoder design is general, and as a special case, it solves the transmit rank-one beamforming problem and can significantly outperform existing linear precoders.
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Zero-Forcing Precoding and Generalized Inverses
TL;DR: This work begins with the standard design under the assumption of a total power constraint and proves that precoders based on the pseudo-inverse are optimal among the generalized inverses in this setting, and examines individual per-antenna power constraints.
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Dynamic reconfiguration of the default mode network during narrative comprehension
Erez Simony,Christopher J. Honey,Janice Chen,Olga Lositsky,Yaara Yeshurun,Ami Wiesel,Uri Hasson +6 more
TL;DR: Inter-subject functional correlation (ISFC), which isolates stimulus-dependent inter-regional correlations between brains exposed to the same stimulus, is introduced, which opens new avenues for linking brain network dynamics to stimulus features and behaviour.
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Shrinkage Algorithms for MMSE Covariance Estimation
TL;DR: This work improves on the Ledoit-Wolf method by conditioning on a sufficient statistic, and proposes an iterative approach which approximates the clairvoyant shrinkage estimator, referred to as the oracle approximating shrinkage (OAS) estimator.
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Learning to Detect
TL;DR: Li et al. as mentioned in this paper proposed two different deep architectures: a standard fully connected multi-layer network, and a detection network (DetNet), which was specifically designed for the task of multiple-input-multiple-output detection.