The TimeFrequency Distributions of Nonstationary Signals Based on a Bessel Kerne

IEEE Transactions on Signal Processing

Volumn 42, Issue 7, 1994, Pages 1700-1707

  Lee, Howard C ^b  

^a CLIN RESEARCH INSTITUTE OF MONTREAL   (Canada)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOVASCULAR SYSTEM; FREQUENCY DOMAIN ANALYSIS; HEMODYNAMICS; INFORMATION THEORY; MEDICAL APPLICATIONS; PROBABILITY; RANDOM PROCESSES; TIME DOMAIN ANALYSIS; ULTRASONICS;

BESSEL KERNEL; CARDIOVASCULAR SIGNAL PROCESSING; NONSTATIONARY SIGNAL ANALYSIS; NONSTATIONARY SIGNALS; TIME FREQUENCY DISTRIBUTIONS;

SIGNAL PROCESSING;

EID: 0028464572     PISSN: 1053587X     EISSN: 19410476     Source Type: Journal    
DOI: 10.1109/78.298277     Document Type: Article

References (16)

1. M. G. Amin, “Time and lag window selection in Wigner-Ville distribution,” in Proc. ICASSP, 1987, pp. 1529–1532.
2. E. F. Blick, H. N. Sabbah, and P. D. Stein, “One-dimensional model of diastolic semilunar valve vibrations productive of heart sounds” J. Biomech., vol. 17, pp. 831–837, 1984.
3. H. Choi and W. Williams, “Improved timefrequency representation of multicomponent signals using exponential kernels,” IEEE Trans. Acoust. Speech Signal Processing, vol. 37, no. 6, pp. 862–871, 1989.
4. G. Cloutier, F. Lemire, L. G. Durand, Y. Latour, and Y. Langlois, “Computer evaluation of Doppler spectral envelope area in patients having a valvular aortic stenosis,” Ultrasound Med. Biol., vol. 16, no. 3, 247–260, 1990.
5. L. Cohen, “Timefrequency distribution—A review,” Proc. IEEE, vol. 77, no. 7, pp. 941–981, 1989.
6. T. A. C. M. Claasen and W. F. G. Mecklenbrauker, “The Wigner distribution—A tool for timefrequency signal analysis, Part III: Relations with other timefrequency signal transformation,” Philips J. Res. vol. 35, pp. 372–389, 1980.
7. Y. A. Goffin, S. L. Hilbert, M. A. Bartik, and I. Salmon, “Cusp degeneration and calcification in explanted porcine aortic bioprostheses: Role of the sponge phenomenon,” in Biolog. Bioprosthetic Valves (Proc. Third Int. Symp.) (E. Bodnar and M. Yacoub, Eds.). Yorke Medical Books, 1986, pp. 405–417.
8. G. Jamous, et al., “Optimal time-window duration for computing timefrequency representations of normal phonocardiograms in dogs,” Med. Biol. Eng. Comput., vol. 30, pp. 503–508, 1992.
9. J. Jeong and W. Williams, “Kernel design for reduced interference distributions,” IEEE Trans. Signal Processing, vol. 40, no. 2, pp. 402–412, 1992.
10. J. Jeong and W. Williams, “Alias free generalized discrete-time timefrequency distributions,” IEEE Trans. Signal Processing, vol. 40, no. 11, pp. 2757–2765, 1992.
11. W. Martin and P. Flandrin, “Wigner-Ville spectral analysis of nonstationary processes,” IEEE Trans. Acoust. Speech Signal Processing, vol. ASSP. 33, no. 6, pp. 1461–1485, 1985.
12. L. Y. L. Mo, L. C. M. Yun, and R. S. C. Cobbold, “Comparison of four digital maximum frequency estimators for Doppler ultrasound,” Ultrasound Med. Biol., vol. 14, no. 5, pp. 355–363, 1988.
13. L. Y. L. Mo and R. S. C. Cobbold, “A nonstationary signal simulation model for continuous wave and pulsed Doppler ultrasound,” IEEE Trans. Ultrason. Ferroelec. Freq. Contr., vol. 36, no. 5, pp. 522–530, 1989.
14. P. D. Stein, H. N. Sabbah, J. B. Lakier, D. J. Jr. Magilligan, and S. Goldstein, “Frequency of the first heart sound in the assessment of stiffening of mitral bioprosthetic valves,” Circulation, vol. 63, pp. 200–204, 1981.
15. P. D. Stein, H. N. Sabbah, J. B. Lakier, S. R. Kemp, and D. J. Jr. Magilligan, “Frequency spectra of the first heart sound and of the aortic component of the second heart sound in patients with degenerated porcine bioprosthetic valves,” Amer. J. Cardiol., vol. 53, pp. 557–561, 1984.
16. J. C. Wood, A. J. Buda, and D. T. Barry, “timefrequency transforms: A new approach to first heart sound frequency dynamics,” IEEE Trans. Biomed. Eng., vol. 39, no. 7, pp. 730–740, 1992.