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In adaptive compressive sensing, measurement matrix is adaptively designed to recover the sparse signal. After the support of the sparse signal is recovered, the projection measurement is designed to reduce the mean squared error of the estimated sparse signal. This paper proposes a projection matrix design method using the support set of the sparse signal estimated via previous measurements. The...
This paper proposes a projection matrix design algorithm using prior information on sparse signal to reduce local cumulative coherence, since small local coherence can improve the sparse signal recovery rate. Local cumulative coherence describes the coherence between the atoms indexed by the support of the sparse signal and other atoms. Using prior information on the sparse signal, projection matrix...
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