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Adaptive multichannel blind identification using manifold optimization

delete2008-06-01
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PRE
AI
魏霞 cover
魏霞 (Wei Xia) *
Z
Zishu He
B
Benyong Liu
C
Cuizhu Niu
DOI:10.1016/j.sigpro.2007.12.013delete
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Abstract

Abstract

En 中文
The multichannel blind identification problem can be formulated as minimizing a cost function based on the cross-relations among different sub-channels, subject to a unit-norm constraint. In this correspondence, this constraint optimization problem is reformulated as an unconstrained one on the Stiefel manifold. Some previously proposed algorithms are also shown to be special cases of this algorithm framework. The convergence and low steady-state misalignment of the proposed algorithms are verified by illustrative computer simulations. (c) 2008 Elsevier B.V. All rights reserved.
Keywords:
adaptive filtering
blind channel identification
single-input multiple-output system
stiefel manifold

Journal

Signal Processing cover
Signal Processing
IF:
3.6
Papers:
10.0K
Citations:
1.7W

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No organization information available
Cited Papers

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