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Volumn 41, Issue 5, 1993, Pages 1996-2008

Kernel Design for Time-Frequency Signal Analysis Using the Radon Transform

Author keywords

[No Author keywords available]

Indexed keywords

FREQUENCY MODULATION; FUNCTION EVALUATION; MATHEMATICAL TRANSFORMATIONS; SIGNAL THEORY; SPURIOUS SIGNAL NOISE;

EID: 0027594695     PISSN: 1053587X     EISSN: 19410476     Source Type: Journal    
DOI: 10.1109/78.215325     Document Type: Article
Times cited : (80)

References (13)
  • 1
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    • Toronto, Canada, May
    • R. G. Baraniuk and D. L. Jones, “A radially Gaussian signal-de-pendent time-frequency representation,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing., Toronto, Canada, May, 1991, pp. 3181–3184.
    • (1991) Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing , pp. 3181-3184
    • Baraniuk, R.G.1    Jones, D.L.2
  • 2
    • 0002628932 scopus 로고
    • Time-frequency signal analysis, ” in
    • S. Haykin, Ed. Englewood Cliffs, NJ: Prentice-Hall ch. 9
    • B. Boashash, “Time-frequency signal analysis,” in Advances in Spectral Estimation and Array Processing, vol. 1, S. Haykin, Ed. Englewood Cliffs, NJ: Prentice-Hall, 1991, ch. 9, 418–517.
    • (1991) Advances in Spectral Estimation and Array Processing , vol.1 , pp. 418-517
    • Boashash, B.1
  • 3
    • 0000735987 scopus 로고
    • Interpreting and estimating the instantaneous frequency of a signal—Part II: Algorithms
    • Apr.
    • B. Boashash, “Interpreting and estimating the instantaneous frequency of a signal—Part II: Algorithms,” Proc. IEEE, pp. 539–569, Apr. 1992.
    • (1992) Proc. IEEE , pp. 539-569
    • Boashash, B.1
  • 5
    • 0024681555 scopus 로고
    • Improved time-frequency representation of multicomponent signals using exponential kernels
    • June
    • I. Choi and W. Williams, “Improved time-frequency representation of multicomponent signals using exponential kernels,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, no. 6, pp. 862–871, June 1989.
    • (1989) IEEE Trans. Acoust., Speech, Signal Processing , vol.37 , Issue.6 , pp. 862-871
    • Choi, I.1    Williams, W.2
  • 7
    • 0024705330 scopus 로고
    • Time-frequency distributions—a review
    • July
    • L. Cohen, “Time-frequency distributions—a review,” Proc. IEEE, vol. 77, no. 7, pp. 941–981, July 1989.
    • (1989) Proc. IEEE , vol.77 , Issue.7 , pp. 941-981
    • Cohen, L.1
  • 8
    • 0021176889 scopus 로고
    • Some features of time-frequency representations of multicomponent signals
    • San Diego, CA
    • P. Flandrin, “Some features of time-frequency representations of multicomponent signals,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, San Diego, CA, 1984, pp. 4IB.1.4-4IB.4.4.
    • (1984) Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing , pp. 4IB.1.4-4IB.4.4
    • Flandrin, P.1
  • 10
    • 0026373461 scopus 로고
    • Instantaneous quantities and uncertainty concepts for signal dependent time frequency distribution
    • July
    • G. Jones and B. Boashash, “Instantaneous quantities and uncertainty concepts for signal dependent time frequency distribution,” Proc. SPIE Int. Soc. Opt. Eng., pp. 167–178, July 1991.
    • (1991) Proc. SPIE Int. Soc. Opt. Eng , pp. 167-178
    • Jones, G.1    Boashash, B.2
  • 11
    • 0026119775 scopus 로고
    • Estimation and classification of polynomial phase signals
    • Mar.
    • S. Peleg and B. Porat, “Estimation and classification of polynomial phase signals,” IEEE Trans. Inform. Theory, vol. 37, pp. 422–429, Mar. 1991.
    • (1991) IEEE Trans. Inform. Theory , vol.37 , pp. 422-429
    • Peleg, S.1    Porat, B.2
  • 12
    • 84941495656 scopus 로고
    • Adaptive time-frequency representations based on the Radon transform
    • Gold Coast, Australia, Aug.
    • B. Ristic and B. Boashash, “Adaptive time-frequency representations based on the Radon transform,” in Proc. Int. Symp. Signal Processing Its Appl., Gold Coast, Australia, Aug. 1992, 41–44.
    • (1992) Proc. Int. Symp. Signal Processing Its Appl , pp. 41-44
    • Ristic, B.1    Boashash, B.2
  • 13
    • 0025463449 scopus 로고
    • The use of cone-shaped kernels for generalized time-frequency representation of nonstationary signals
    • June
    • Y. Zhao, L. E. Atlas, and R. J. Marks, II, “The use of cone-shaped kernels for generalized time-frequency representation of nonstationary signals,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 38, no. 7, June 1990.
    • (1990) IEEE Trans. Acoust., Speech, Signal Processing , vol.38 , Issue.7
    • Zhao, Y.1    Atlas, L.E.2    Marks, R.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.