Mar 14, 2008 · The objective is achieved by using balanced parameterization of the underlying discrete-time dynamical system. Since there are no known balanced ...
Since there are no known balanced parameterization algorithms for dis- crete-time systems, we need to go through a “circuitous” route, by first transforming the ...
A Balanced Approach to Multichannel Blind Deconvolution ...
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This paper aims to relax the implicit assumption that the dimension of the state vector of the mixer is known a priori, by using balanced parameterization ...
Jul 18, 2007 · In this paper, we explore the application of a common operator used in systems theory, viz., the delta operator, to formulate a unified ...
Oct 22, 2024 · In this paper, we explore the application of a common operator used in systems theory, viz., the delta operator, to formulate a unified ...
This paper explores the application of a common operator used in systems theory, viz., the delta operator, to formulate a unified theory of multichannel ...
In this paper, we will apply a balanced parametrization approach to multichannel blind deconvolution problem with the mixer being modelled as a continuous time ...
The objective is achieved by using balanced parameterization of the underlying discrete-time dynamical system. ... The number of states can be determined by the ...
A key problem in multichannel blind deconvolution (MDB) is how to properly model the mixer so that the demixer can be properly modelled correspondingly.
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A Continuous Time Balanced Parametrization Approach to ...
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Oct 22, 2024 · In this paper, we will apply a balanced parametrization approach to multichannel blind deconvolution problem with the mixer being modelled ...