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ISCAS
1999
IEEE

The state space framework for blind dynamic signal extraction and recovery

14 years 3 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 performance index is a measure of statistical dependence among the outputs of the network, namely, the relative entropy also known as the Kullback-Leibler divergence. The network is represented as (either discrete or continuous time) state space dynamics. Update laws are derived in the general cases. Moreover, in the discrete-time case, they are shown to specialize to the FIR and IIR network representations.
Fathi M. A. Salam, Gail Erten
Added 03 Aug 2010
Updated 03 Aug 2010
Type Conference
Year 1999
Where ISCAS
Authors Fathi M. A. Salam, Gail Erten
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