Auditory motivated level-crossing approach to instantaneous frequency estimation

IEEE Transactions on Signal Processing

Volumn 53, Issue 4, 2005, Pages 1450-1462

  Sekhar, S Chandra ^a   Sreenivas, Thippur V ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Auditory processing; Instantaneous frequency; Irregular sampling; Level crossing; Zero crossing

Indexed keywords

COMPUTER SIMULATION; ESTIMATION; NATURAL FREQUENCIES; POLYNOMIALS; REGRESSION ANALYSIS; SIGNAL TO NOISE RATIO; WHITE NOISE;

AUDITORY PROCESSING; INSTANTANEOUS FREQUENCY; IRREGULAR SAMPLING; LEVEL CROSSING; ZERO CROSSING;

SIGNAL PROCESSING;

EID: 17444375230     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2005.843736     Document Type: Article

References (32)

1. B. Picinbono, "On instantaneous amplitude and phase of signals," IEEE Trans. Signal Process., vol. 45, no. 3, pp. 552-560, Mar. 1997.
2. P. Maragos, J. F. Kaiser, and T. F. Quatieri, "Energy separation in signal modulations with application to speech analysis," IEEE Trans. Signal Process., vol. 41, no. 10, pp. 3024-3051, Oct. 1993.
3. S. Haykin, Communication Systems. New York: Wiley, 1978.
4. L. Cohen, Time-Frequency Analysis. Englewood Cliffs, NJ: Prentice-Hall, 1995.
5. L. J. Stankovic, "A time-frequency distribution concentrated along the instantaneous frequency," IEEE Signal Process. Lett., vol. 3, no. 3, pp. 89-91, Mar. 1996.
6. B. Boashash, Ed., Time-Frequency Signal Analysis and Processing. Oxford, U.K.: Elsevier, 2003.
7. B. Boashash, "Estimating and interpreting the instantaneous frequency of a signal - part 2: algorithms and applications," Proc. IEEE, vol. 80, no. 4, pp. 539-568, Apr. 1992.
8. D. C. Reed, A. M. Zoubir, and B: Boashash, "Aircraft flight parameter estimation based on passive acoustic techniques using the polynomial Wigner-Ville distribution," J. Acous. Soc. Amer., vol. 102, no. 1, Jul. 1997.
9. A. K. Barros and N. Ohnishi, "Heart Instantaneous Frequency (HIF): an alternative approach to extract heart rate variability," IEEE Trans. Biomed. Engg, vol. 48, no. 8, pp. 850-855, Aug. 2001.
10. O. Ghitza, "Auditory nerve representations as a front-end for speech recognition in a noisy environment," Comput. Speech Language, vol. 1, pp. 109-130, 1986.
11. O. Ghitza, "Auditory models and human performance in tasks related to speech coding and speech recognition," IEEE Trans. Speech Audio Process., vol. 2, no. 1, pp. 115-132, Jan. 1994.
12. D. S. Kim, S. Y. Lee, and R. M. Kil, "Auditory processing of speech signals for robust speech recognition in real-world noisy environments," IEEE Trans. Speech Audio Process., vol. 7, no. 1, pp. 55-69, Jan. 1999.
13. T. V. Sreenivas and R. J. Niederjohn, "Zero-crossing based spectral analysis and SVD spectral analysis for formant frequency estimation in noise," IEEE Trans. Signal Process., vol. 40, no. 2, pp. 282-293, Feb. 1992.
14. M. Unser, "Sampling-50 years after Shannon," Proc. IEEE, vol. 88, no. 4, pp. 569-587, Apr. 2000.
15. R. Vio, T. Strohmer, and W. Wamsteker, "On the reconstruction of irregularly sampled time series," Publ. Astr. Soc. Pacific, vol. 112, pp. 74-90, Jan. 2000.
16. A. Oppenheim, R. W. Schafer, and J. R. Buck, Discrete-Time Signal Processing, Second ed. Englewood Cliffs, NJ: Prentice-Hall, 2000.
17. E. V. Krishnamurthy and S. K. Sen, Numerical Algorithms - Computations in Science and Engineering, India: Affiliated East-West Press Pvt. Ltd., 2001.
18. S. C. Sekhar and T. V. Sreenivas, "Instantaneous frequency estimation using level-crossing information," in Proc. IEEE, Intl. Conf. Acoust., Speech. Signal Process., Hong Kong, 2003.
19. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. Englewood Cliffs, NJ: Prentice-Hall, 1993.
20. S. C. Sekhar and T. V. Sreenivas, "Adaptive window zero-crossing-based instantaneous frequency estimation," EURASIP J. Applied Signal Process., Special Issue on Non-linear Signal Image Process., vol. 12, pp. 1791-1806, Dec. 2004.
21. P. M. Djufic and S. M. Kay, "Parameter estimation of chirp signals," IEEE Trans. Signal Process., vol. 38, no. 12, pp. 2118-2126, Dec. 1990.
22. H. Leib and S. Pasupathy, "The phase of a vector perturbed by Gaussian noise and differentially coherent receivers," IEEE Trans. Inf. Theory, vol. 34, no. 6, pp. 1491-1501, Nov. 1988.
23. A. P. Suppappola, Ed., Applications in Time-Frequency Signal Processing. Boca Raton, FL: CRC, 2003.
24. S. C. Sekhar and T. V. Sreenivas, "Pseudo-time-varying filters for improved instantaneous frequency estimation," Signal Process., submitted for publication.
25. B. Barkat and B. Boashash, "Instantaneous frequency estimation of polynomial FM signals using the peak of the PWVD: statistical performance in the presence of additive Gaussian noise," IEEE Trans. Signal Process., vol. 47, no. 9, pp. 2480-2490, Sep. 1999.
26. S. Peleg, B. Porat, and B. Friedlander, "The Discrete Polynomial Transform (DPT), its properties and applications," in Proc. IEEE Int. Conf. Acoust. Speech, Signal Process., 1991, pp. 116-119.
27. S. Peleg and B. Friedlander, "The discrete polynomial-phase transform," IEEE Trans. Signal Process., vol. 43, no. 8, pp. 1901-1914, Aug. 1995.
28. B. Porat and B. Friedlander, "Asymptotic statistical analysis of the high-order ambiguity function for parameter estimation of polynomial-phase signals," IEEE Trans. Inf. Theory, vol. 42, no. 3, pp. 995-1001, May 1996.
29. J. Angeby, "Aliasing of polynomial-phase signal parameters," IEEE Trans. Signal Process., vol. 48, no. 5, pp. 1488-1491, May 2000.
30. B. Kedem, Time Series Analysis by Higher Order Crossings. New York: IEEE, 1994.
31. J. A. Legg and D. A. Gray, "Performance bounds for polynomial phase parameter estimation with nonuniform and random sampling schemes," IEEE Trans. Signal Process., vol. 48, no. 2, pp. 331-337, Feb. 2000.
32. S. Peleg and B. Porat, "The Cramer-Rao lower bound for signals with constant amplitude and polynomial phase," IEEE Trans. Signal Process., vol. 39, no. 3, pp. 749-752, Mar. 1991.