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109
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ISCAS
1999
IEEE
100views Hardware» more  ISCAS 1999»
15 years 5 months ago
The state space framework for blind dynamic signal extraction and recovery
The paper describes a framework in the form of an optimization of a performance index subject to the constraints of a dynamic network, represented in the state space. The performa...
Fathi M. A. Salam, Gail Erten
112
Voted
ECCC
2006
87views more  ECCC 2006»
15 years 23 days ago
The Learnability of Quantum States
Traditional quantum state tomography requires a number of measurements that grows exponentially with the number of qubits n. But using ideas from computational learning theory, we...
Scott Aaronson
AUTOMATICA
2004
118views more  AUTOMATICA 2004»
15 years 19 days ago
Active state estimation of nonlinear systems
In this paper, state observers for control systems with nonlinear outputs are studied. For such systems, the observability does not only depend on the initial conditions, but also...
Xiaoming Hu, Torvald Ersson
146
Voted
CORR
2007
Springer
186views Education» more  CORR 2007»
15 years 17 days ago
Multiuser MIMO Downlink Made Practical: Achievable Rates with Simple Channel State Estimation and Feedback Schemes
We consider a MIMO fading broadcast channel and compute achievable ergodic rates when channel state information is acquired at the receivers via downlink training and explicit cha...
Giuseppe Caire, Nihar Jindal, Mari Kobayashi, Nira...
101
Voted
SIAMCO
2000
148views more  SIAMCO 2000»
15 years 16 days ago
Pontryagin's Principle For Local Solutions of Control Problems with Mixed Control-State Constraints
This paper deals with optimal control problems of semilinear parabolic equations with pointwise state constraints and coupled integral state-control constraints. We obtain necessar...
E. Casas, J. P. Raymond, H. Zidani