A b-wavelet-based noise-reduction algorithm

IEEE Transactions on Signal Processing

Volumn 44, Issue 5, 1996, Pages 1279-1284

  Ainsleigh, Phillip L ^a   Chu, Charles K ^b  

^a NAVAL UNDERSEA WARFARE CENTER   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; SIGNAL DETECTION; SIGNAL DISTORTION; SIGNAL FILTERING AND PREDICTION; SIGNAL INTERFERENCE; TIME SERIES ANALYSIS; TRANSFER FUNCTIONS; WAVELET TRANSFORMS;

FREQUENCY LOCALIZATION; IMPULSIVE NOISE; MULTIPATH INTERFERENCE; NOISE REDUCTION ALGORITHM;

SPURIOUS SIGNAL NOISE;

EID: 0030147666     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.502342     Document Type: Article

References (20)

1. A.K. Jain, Fundamentals of Digital Image Processing. Englewoo Cliffs, NJ: Prentice-Hall, 1989.
2. R.J. Bobber, "Interference versus frequency in measurements in shallow lake," J. Acoust. Sac. Amer., vol. 33, no. 9, pp. 1211-1215 Sept. 1961.
3. D.N. Gujarad, Basic Econometrics, 2nd ed. New York: McGraw-Hill 1988, p. "452.
4. C.K. Chui and J. Z. Wang, "On compactly supported spline wavelet and a duality principle," Trans. Amer. Math. Soc., vol. 330, no. 2, pp 903-915, Apr. 1992.
5. P.L. Ainslcigh and C. K. Chui, "Simultaneous spline and wavele smoothing of noisy data," in Proc. 1993 IEEE Int. Conf. Acoust., Speech Signal Processing, vol. 3, pp. 197-200.
6. D.L. Donoho and I. M. Johnstone, "Ideal spatial adaptation via wavele shrinkage," Biometrtka, vol. 81, no. 3, pp. 425-455, 1994.
7. A.G. Brace, D. L. Donoho, H. Y. Gao, and R. D. Martin, "Denoisin and robust nonlinear wavelet analysis," in Wavelet Applications, H. H Szu, Ed. Bcllingham, WA: SIlE1994, pp. 325-336.
8. S.G. Mallat and Z. Zhang, "Matching pursuits with time-frequenc dictionaries," IEEE Trans. Signal Processing, vol. 41, no. 12, pp 3397-3415, Dec. 1993.
9. R.R. Coifman and F. Majid, "Adapted waveform analysis and denois ing," in Progress in Wavelet Analysis and Applications, Y. Meyer an S. Roques, Eds. Paris: Editions Frontiers, 1993, pp. 63-76.
10. N. Saito, "Simultaneous noise suppression and signal compression usin a library of orthogonal bases and the minimum description lengt criterion," in Wavelet Applications, H.H. Szu, Ed. Belllingham, WA SPIF, 1994, pp 224-235.
11. S.G. Mallat. "A theory for multiresolution signal decomposition: Th wavelet representation," IEEE Tram. Pan. Anal. Machine Intell., vol 11, no. 7, pp. 69-88, July 1989.
12. Y. Meycr, Wavelets: Algorithms and Applications. Philadelphia, PA S1AM, 1993.
13. C.K. Chui. An Introduction to Wavelets. Boston, MA: Academic 1992.
14. I. Daubechies, Ten Lectures on Wavelets. Philadelphia, PA: SLAM 1992.
15. C. de Boor, A Practical Guide to Splines. New York: Springer Verlag 1978.
16. I.J. Schoenberg, Cardinal Spline Interpolation. Philadelphia: SIAM 1973
17. C.K. Chui, Multivariale Splines. Philadelphia, PA: SIAM, 1988.
18. G. Wahba, Spline Models for Observational Data. Philadelphia: SIAM 1990.
19. D.L. Donoho. "Nonlinear wavelet methods for recovery of signals densities, and spectra from indirect and noisy data," in Proc. 1993 AM Symp. Applied Math., vol. 47, pp. 173-205.
20. T.P. Krauss, L. Shure, and J. N. Little, MATLAB Signal Processin Toolbox User's Guide. Natick, MA: The Mathworks, 1993.