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This paper introduces the fundamental knowledge of compressed sensing theory, and analyzes the important reconstruction algorithms such as orthogonal matching pursuit, subspace pursuit, but we should know the sparse degree. The sparsity adaptive matching pursuit algorithm can be terminated by setting the conditions to make adaptive sparse degree. This paper puts forward a modified sparsity adaptive...
This paper proposes a greedy reconstruction algorithm to recover sparse signal from compressed measurements, called multipath subspace pursuit (MSP). Different from the subspace pursuit (SP), the MSP creates several candidates of the support set when iteration ends. We can select one best candidate as the final support set. At the beginning of each iteration, MSP uses a nuanced method to add the atoms...
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