The main focus of this work is the estimation of a complex valued signal assumed to have a sparse representation in an uncountable dictionary of signals.
May 7, 2014 · Abstract—The main focus of this work is the estimation of a complex valued signal assumed to have a sparse representation.
PDF | On Apr 1, 2014, Emilie Chouzenoux and others published A Multi-Parameter Optimization Approach for Complex Continuous Sparse Modelling | Find, ...
Abstract—The main focus of this work is the estimation of a complex valued signal assumed to have a sparse representation in an uncountable dictionary of ...
May 7, 2014 · The main focus of this work is the estimation of a complex valued signal assumed to have a sparse representation in an uncountable ...
Abstract. In this paper, we consider the problem of estimating a complex-valued signal having a sparse representation in an uncountable family of vectors.
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In this paper, sparse signals are reconstructed by optimizing these two objectives simultaneously. This reconstruction method mainly consists of three steps.
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Our user study results confirm that our spatial warping techniques can help minimize user-perceived difference between the physi- cal proxy and virtual shape.
Apr 16, 2024 · By employing this scalarization technique, the algorithm can identify all optimal solutions of the original problem while reducing its ...
In this paper it is shown how a multi-objective optimization algorithm can be applied to a spatial sampling problem.