2012
DOI: 10.1109/tsp.2012.2201153
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Compressive Wideband Power Spectrum Estimation

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Cited by 220 publications
(231 citation statements)
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“…In the context of power spectrum estimation, the conclusions of the present paper agree with those in [10] in the sense that a N/2 -length sparse ruler is universal for covariance sampling. This is so since they assume the covariance matrices to be banded and since any N/2 -length sparse ruler is also an (N − 1)-length circular sparse ruler.…”
Section: Relation To Previous Worksupporting
confidence: 86%
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“…In the context of power spectrum estimation, the conclusions of the present paper agree with those in [10] in the sense that a N/2 -length sparse ruler is universal for covariance sampling. This is so since they assume the covariance matrices to be banded and since any N/2 -length sparse ruler is also an (N − 1)-length circular sparse ruler.…”
Section: Relation To Previous Worksupporting
confidence: 86%
“…Previous works address the compressive covariance sampling problem from completely different perspectives ranging from the number of degrees of freedom [7], [8], to the difference/sum coarray [12] and the conditions for least squares reconstruction of the second-order statistics [10]. We aim to unify the treatment of this problem under the idea of statistical identifiability of the unknown parameters, providing a framework that encompasses most compressive covariance sampling problems.…”
Section: A Relation To Compressive Samplingmentioning
confidence: 99%
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“…Although most of these works deal with perfect reconstruction, this is not needed for spectrum sensing since typically only the second-order statistics are of interest. This observation has prompted recent schemes showing that a considerable reduction in the sampling rate is possible, even without the need for assuming sparsity [11,12]. This paper is pointed to exploit a further reduction in the sampling rate arising when certain prior information is used.…”
Section: Introductionmentioning
confidence: 99%