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Volumn 38, Issue 6, 1990, Pages 901-909

Suboptimal Detection of Non-Gaussian Signals by Third-Order Spectral Analysis

Author keywords

[No Author keywords available]

Indexed keywords

SPECTRUM ANALYSIS;

EID: 0025446666     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/29.56051     Document Type: Article
Times cited : (50)

References (24)
  • 1
    • 0001414711 scopus 로고
    • An introduction to polyspectra
    • D. R. Brillinger, “An introduction to polyspectra.” Ann. Math. Statist., vol. 36, pp. 1351–1374, 1965.
    • (1965) Ann. Math. Statist. , vol.36 , pp. 1351-1374
    • Brillinger, D.R.1
  • 2
    • 0001092007 scopus 로고
    • Asymptotic theory of estimates of kth order spectra
    • Harris, Ed. New York: Wiley
    • D. R. Brillinger and M. Rosenblatt. “Asymptotic theory of estimates of kth order spectra,” in Spectral Analysis of Time Series. B. Harris, Ed. New York: Wiley, 1967, pp. 135–188.
    • (1967) Spectral Analysis of Time Series. B , pp. 135-188
    • Brillinger, D.R.1    Rosenblatt, M.2
  • 3
    • 0001294993 scopus 로고
    • Asymptotic normality of bispectral estimates
    • J. W. Van Ness, “Asymptotic normality of bispectral estimates,” Ann. Math. Statist., vol. 37, pp. 1257–1275, 1966.
    • (1966) Ann. Math. Statist. , vol.37 , pp. 1257-1275
    • Van Ness, J.W.1
  • 4
    • 0001457524 scopus 로고
    • Estimation of the bispectrum
    • M. Rosenblatt and J. W. Van Ness, “Estimation of the bispectrum,” Ann. Math. Statist., vol. 36. pp. 1120–1136, 1965.
    • (1965) Ann. Math. Statist. , vol.36 , pp. 1120-1136
    • Rosenblatt, M.1    Van Ness, J.W.2
  • 6
    • 0000164988 scopus 로고
    • On the complex analogues of T2 and R tests
    • N. Giri. “On the complex analogues of T2 and R tests,” Ann. Math. Statist., vol. 36, pp. 664–670. 1965.
    • (1965) Ann. Math. Statist. , vol.36 , pp. 664-670
    • Giri, N.1
  • 8
    • 0019607907 scopus 로고
    • Cross-bispectrum computation and variance estimation
    • Sept.
    • K. S. Lii and K. N. Helland, “Cross-bispectrum computation and variance estimation,” ACM Trans. Math. Soft., vol. 7, no. 3, pp. 284–294, Sept. 1981.
    • (1981) ACM Trans. Math. Soft. , vol.7 , Issue.3 , pp. 284-294
    • Lii, K.S.1    Helland, K.N.2
  • 12
    • 0343991031 scopus 로고
    • Minimum bias windows for bispectral estimation
    • K. Sasaki, T. Sato, and Y. Yamashita, “Minimum bias windows for bispectral estimation,” J. Sound Vibration, vol. 40, no. 1, pp. 139–149, 1975.
    • (1975) J. Sound Vibration , vol.40 , Issue.1 , pp. 139-149
    • Sasaki, K.1    Sato, T.2    Yamashita, Y.3
  • 13
    • 0023383894 scopus 로고
    • Bispectrum estimation: A digital signal processing framework
    • (plus references therein), July
    • C. L. Nikias and M. R. Raghuveer, “Bispectrum estimation: A digital signal processing framework,” Proc. IEEE, vol. 75, pp. 869–892 (plus references therein), July 1987.
    • (1987) Proc. IEEE , vol.75 , pp. 869-892
    • Nikias, C.L.1    Raghuveer, M.R.2
  • 14
    • 84986817195 scopus 로고
    • State dependent models: A general approach to non-linear time series analysis
    • M. B. Priestly, “State dependent models: A general approach to non-linear time series analysis,” J. Time Series Anal., vol. 1, no. 1, pp. 47–71, 1980.
    • (1980) J. Time Series Anal. , vol.1 , Issue.1 , pp. 47-71
    • Priestly, M.B.1
  • 15
    • 84986811816 scopus 로고
    • A test for linearity of stationary time series
    • T. Subba Rao and M. M. Gabr. “A test for linearity of stationary time series,” J. Time Series Anal., vol. 1, no. 2. pp. 145–158, 1980.
    • (1980) J. Time Series Anal. , vol.1 , Issue.2 , pp. 145-158
    • Subba Rao, T.1    Gabr, M.M.2
  • 16
    • 84986811814 scopus 로고
    • Testing for Gaussianity and linearity of a stationary time series
    • M. J. Hinich, “Testing for Gaussianity and linearity of a stationary time series,” J. Time Series Anal., vol. 3. no. 3. pp. 169–176, 1982.
    • (1982) J. Time Series Anal. , vol.3 , Issue.3 , pp. 169-176
    • Hinich, M.J.1
  • 17
    • 0022081988 scopus 로고
    • Locally optimum and suboptimum detector performance in a non-Gaussian interference environment
    • A. D. Spaulding. “Locally optimum and suboptimum detector performance in a non-Gaussian interference environment.” IEEE Trans. Commun., vol. COM-33, no. 6, pp. 509–517, 1985.
    • (1985) IEEE Trans. Commun. , vol.COM-33 , Issue.6 , pp. 509-517
    • Spaulding, A.D.1
  • 18
    • 0000302989 scopus 로고
    • Acoustic signal detection by simple correlators in presence of non-Gaussian noise
    • D. Middleton. “Acoustic signal detection by simple correlators in presence of non-Gaussian noise,” J. Aeoust. Soc. Amer., vol. 34, no. 10. pp. 1598–1609, 1962.
    • (1962) J. Aeoust. Soc. Amer. , vol.34 , Issue.10 , pp. 1598-1609
    • Middleton, D.1
  • 19
    • 0021371199 scopus 로고
    • Threshold detection in non-Gaussian interference environments
    • D. Middleton. “Threshold detection in non-Gaussian interference environments.” IEEE Trans. Electromagn. Compact., vol. EMC-26, no. 1, pp. 19–29, 1984.
    • (1984) IEEE Trans. Electromagn. Compact. , vol.EMC-26 , Issue.1 , pp. 19-29
    • Middleton, D.1
  • 20
    • 0013144277 scopus 로고
    • An exploratory study of the bispectrum of economic time series
    • M. D. Godfrey, “An exploratory study of the bispectrum of economic time series,” J. Roy. Statis. Soc. (C), vol. 14, pp. 48–69, 1965.
    • (1965) J. Roy. Statis. Soc. (C) , vol.14 , pp. 48-69
    • Godfrey, M.D.1
  • 23
    • 0004193718 scopus 로고
    • An introduction to bispectral analysis and bilinear time series models
    • Lecture Notes in Statistics, D, Brillinger et al., Eds. New York: Springer-Verlag.
    • T. Subba Rao and M. Gabr, “An introduction to bispectral analysis and bilinear time series models.” in Lecture Notes in Statistics, D, Brillinger et al., Eds. New York: Springer-Verlag. 1984.
    • (1984)
    • Subba Rao, T.1    Gabr, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.