Compressive parameter estimation via K-median clustering
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4 citations
Cites background from "Compressive parameter estimation vi..."
...For this, a threshold needs be derived and then the detection rule can be compared against this threshold to detect the presence of desired signal [9]–[16]....
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Cites background from "Compressive parameter estimation vi..."
...Another important sparsity model that we consider here is the parametric model [34], [50]–[52]....
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References
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18,609 citations
9,950 citations
"Compressive parameter estimation vi..." refers methods in this paper
...In this paper, we propose the use of the earth mover’s distance (EMD), as applied to a pair of true and estimate PD coefficient vectors, to measure the error in sparsity-based parameter estimation....
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9,380 citations
"Compressive parameter estimation vi..." refers methods in this paper
...Additionally, we leverage the relationship between K-median clustering and EMD-based sparse approximation to develop improved PD-based parameter estimation algorithms....
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8,604 citations
"Compressive parameter estimation vi..." refers methods in this paper
...Additionally, we leverage the relationship between K-median clustering and EMD-based sparse approximation to develop improved PD-based parameter estimation algorithms....
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7,356 citations