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Volumn 5, Issue , 2009, Pages 216-223

Distilled sensing: Selective sampling for sparse signal recovery

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVITY; SELECTIVE SAMPLING; SEQUENTIAL METHODS; SIGNAL COMPONENTS; SIGNAL SUB-SPACE; SPARSE SIGNALS;

EID: 84860109060     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (10)
  • 1
    • 33746242092 scopus 로고    scopus 로고
    • Adapting to unknown sparsity by controlling the false discovery rate
    • F. Abramovich, Y. Benjamini, D. Donoho, and I. Johnstone (2006), Adapting to unknown sparsity by controlling the false discovery rate, Ann. Statist., 34(2), 584-653.
    • (2006) Ann. Statist. , vol.34 , Issue.2 , pp. 584-653
    • Abramovich, F.1    Benjamini, Y.2    Donoho, D.3    Johnstone, I.4
  • 2
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • Y. Benjamini and Y. Hochberg (1995), Controlling the false discovery rate: a practical and powerful approach to multiple testing, J. R. Statist. Soc. B, 57, 289-300.
    • (1995) J. R. Statist. Soc. B , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 3
    • 0000182415 scopus 로고
    • A measure of asymptotic e±ciency for tests of a hypothesis based on the sum of observations
    • H. Chernoff (1952), A measure of asymptotic e±ciency for tests of a hypothesis based on the sum of observations, Ann. Statist., 23, 493-507.
    • (1952) Ann. Statist. , vol.23 , pp. 493-507
    • Chernoff, H.1
  • 4
    • 34547291918 scopus 로고    scopus 로고
    • Asymptotic minimaxity of false discovery rate thresholding for sparse exponential data
    • D. Donoho and J. Jin (2006), Asymptotic minimaxity of false discovery rate thresholding for sparse exponential data, Ann. Statist., 34(6), 2980-3018.
    • (2006) Ann. Statist. , vol.34 , Issue.6 , pp. 2980-3018
    • Donoho, D.1    Jin, J.2
  • 6
    • 0036334830 scopus 로고    scopus 로고
    • Thresholding of statistical maps in functional neuroimaging using the false discovery rate
    • C. Genovese, N. Lazar, and T. Nichols (2002), Thresholding of statistical maps in functional neuroimaging using the false discovery rate, NeuroImage, 15, 870878.
    • (2002) NeuroImage , vol.15 , pp. 870-878
    • Genovese, C.1    Lazar, N.2    Nichols, T.3
  • 8
    • 34547245613 scopus 로고    scopus 로고
    • Ph.D. Dissertation, Dept. of Statistics, Stanford University
    • J. Jin (2003), Detecting and estimating sparse mixtures, Ph.D. Dissertation, Dept. of Statistics, Stanford University.
    • (2003) Detecting and Estimating Sparse MixTures
    • Jin, J.1
  • 9
    • 21444454257 scopus 로고    scopus 로고
    • False discovery rate, sensitivity and sample size for microarray studies
    • Y. Pawitan, S. Michiels, S. Koscielny, A. Gusnanto, and A. Ploner (2005), False discovery rate, sensitivity and sample size for microarray studies, Bioinformatics, 21, 3017-3024.
    • (2005) Bioinformatics , vol.21 , pp. 3017-3024
    • Pawitan, Y.1    Michiels, S.2    Koscielny, S.3    Gusnanto, A.4    Ploner, A.5
  • 10
    • 34249298349 scopus 로고    scopus 로고
    • Optimal sequential energy allocation for inverse problems
    • R. Rangarajan, R. Raich, and A. Hero (2007), Optimal sequential energy allocation for inverse problems, IEEE J. Sel. Top. Sign. Proces., 1(1), 67-78.
    • (2007) IEEE J. Sel. Top. Sign. Proces. , vol.1 , Issue.1 , pp. 67-78
    • Rangarajan, R.1    Raich, R.2    Hero, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.