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The method applied overcomes these difficulties by imposing a multi-level substructuring procedure, based on the sparsity pattern of the stiffness matrix.
The selection approach based on the sparsity coding theory achieves the best remote sensing performance with the least number of microphones.
3. Estimate the source representation based on the sparsity assumption.
Based on the sparsity of various frequency components, the coefficients are sampled at different sampling rates.
We consider a separation criterion based on the sparsity of the signals in the time-frequency domain.
These works are based on the sparsity of the measurement error pattern to first estimate the error and then estimate the true signal, in an iterative process.
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An important goal in the analysis of such designs is to identify active effects based on the effect sparsity assumption.
With the consideration of the correlations between multi-source signals and the sparse characteristics of image, this paper proposed a novel fusion rule of multi-modal image fusion scheme based on the joint sparsity model.
An abnormal readings detection and identification methods were incorporated based on the combinational sparsity reconstruction [24].
Based on the block sparsity that is particularly embodied by the involved multiple clusters, the designed new algorithm may produce more competitive reconstruction results.
The key innovation of this method is fully utilizing the limited resource of radar pulses to implement multi-target imaging, based on the image sparsity and CS algorithms.
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