Solve-Select-Scale: A Three Step Process For Sparse Signal Estimation

16 May 2016Mithun Das Gupta

In the theory of compressed sensing (CS), the sparsity $\|x\|_0$ of the unknown signal $\mathbf{x} \in \mathcal{R}^n$ is of prime importance and the focus of reconstruction algorithms has mainly been either $\|x\|_0$ or its convex relaxation (via $\|x\|_1$). However, it is typically unknown in practice and has remained a challenge when nothing about the size of the support is known... (read more)

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