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The reconstruction process in compressive sensing is an underdetermined problem. Existing reconstruction algorithms in compressive sensing approaches this problem using the standard sparsity model, where nonzero terms are randomly isolated among the signal. However, natural signals are tended to show group sparsity which may help in the reduction of computational complexity and acceleration of recovery...