Adaptive Noise Cancelling: Principles and Applications

Proceedings of the IEEE

Volumn 63, Issue 12, 1975, Pages 1692-1716

  Widrow, Bernard ^a   Williams, Charles S ^a   Glover, John R ^a   McCool, John M ^b   Hearn, Robert H ^b   Zeidler, James R ^b   Kaunitz, John ^a   Dong, Eugene ^c   Goodlin, Robert C ^c  

^a STANFORD UNIVERSITY   (United States)

^b Fleet Engineering Department Naval Undersea Center ^*  (United States)

^c STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE FILTERS;

BIOMEDICAL ENGINEERING - COMPUTER APPLICATIONS; SIGNAL INTERFERENCE - SUPPRESSION; SIGNAL PROCESSING; STATISTICAL METHODS;

INFORMATION THEORY;

THEORETICAL STUDY;

EID: 0016643045     PISSN: 00189219     EISSN: 15582256     Source Type: Journal    
DOI: 10.1109/PROC.1975.10036     Document Type: Article

References (47)

1. N. Wiener, Extrapolation, Interpolation and Smoothing of Stationary Time Series, with Engineering Applications. New York: Wiley, 1949.
2. H. Bode and C. Shannon, “A simplified derivation of linear least squares smoothing and prediction theory,” Proc. IRE, vol. 38, pp. 417-425, Apr. 1950.
3. R. Kalman, “On the general theory of control,” in Proc. lst IFAC Congress. London: Butterworth, 1960.
4. R. Kalman and R. Bucy, “New results in linear filtering and prediction theory,” Trans. ASME, ser. D, J. Basic Eng., vol. 83, pp. 95-107, Dec. 1961.
5. T. Kailath, “A view of three decades of linear filtering theory,” IEEE Trans. Inform. Theory, vol. IT-20, pp. 145-181, Mar. 1974.
6. P. Howells, “Intermediate frequency side-lobe canceller,” U S. Patent 3 202 990, Aug. 24, 1965.
7. B. Widrow and M. Hoff, Jr., “Adaptive switching circuits,” in IRE WESCON Conv. Rec., pt. 4, pp. 96-104, 1960.
8. J. Koford and G. Groner, “The use of an adaptive threshold element to design a linear optimal pattern classifier,” IEEE Trans. Inform. Theory, vol. IT-12, pp. 42-50, Jan. 1966.
9. F. Rosenblatt, “The Perceptron: A perceiving and recognizing automaton, Project PARA,” Cornell Aeronaut. Lab., Rep. 85-460-1, 460-1, Jan. 1957.
10. — Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanism. Washington, D.C.: Spartan Books, 1961.
11. N. Nilsson, Learning Machines New York: McGraw-Hill, 1965.
12. D. Gabor, W. P. L. Wilby, and R. Woodcock, “A universal non-linear filter predictor and simulator which optimizes itself by a learning process,” Proc. Inst. Elec. Eng., vol. 108B, July 1960.
13. R. Lucky, “Automatic equalization for digital communication,” Bell Syst. Tech. J., vol. 44, pp. 547-588, Apr. 1965.
14. R. Lucky et al., Principles of Data Communication. New York: McGraw-Hill, 1968.
15. J. Kaunitz, “Adaptive filtering of broadband signals as applied to noise cancelling,” Stanford Electronics Lab., Stanford Univ., Stanford, Calif., Rep. SU-SEL-72-038, Aug. 1972 (Ph.D. dissertation).
16. M. Sondhi, “An adaptive echo canceller,” Bell Syst. Tech. J., vol. 46, pp. 497-511, Mar. 1967.
17. J. Rosenberger and E. Thomas, “Performance of an adaptive echo canceller operating in a noisy, linear, time-invariant environment,” Bell Syst Tech. J., vol. 50, pp. 785-813, Mar. 1971.
18. R. Riegler and R. Compton, Jr., “An adaptive array for interference rejection,”Proc. IEEE, vol. 61, pp. 748-758, June 1973.
19. B. Widrow, P. Mantey, L. Griffiths, and B. Goode, “Adaptive antenna systems,” Proc. IEEE, vol. 55, pp. 2143-2159, Dec. 1967.
20. “Adaptive filters,” in Aspects of Network and System Theory, R. Kalman and N. DeClaris, Eds. New York: Holt, Rinehart, and Winston, 1971, pp. 563-587.
21. J. Glover, “Adaptive noise cancelling of sinusoidal interferences,” Ph.D. dissertation, Stanford Univ., Stanford, Calif., May 1975.
22. J. C. Huhta and J. G. Webster, “60-Hz interference in electrocardiography,” IEEE Trans. Biomed. Eng., vol. BME-20, pp. 91-’101, ‘101, Mar. 1973.
23. W. Adams and P. Moulder, “Anatomy of heart,” in Encycl. Britannica, vol. 11, pp. 219-229, 1971.
24. G. von Anrep and L. Arey, “Circulation of blood,” in Encycl. Britannica, vol. 5, pp. 783-797, 1971.
25. R. R. Lower, R. C. Stofer, and N. E. Shumway, “Homovital transplantation of the heart,” J. Thoracic and Cardiovascular Surgery, vol. 41, p. 196, 1961.
26. T. Buxton, I. Hsu, and R. Barter, “Fetal electrocardiography,” J.A.M.A., vol. 185, pp. 441-444, Aug. 10,1963.
27. J. Roche and E. Hon, “The fetal electrocardiogram,” Amer. J. Obst. and Gynecol., vol. 92, pp. 1149-1159, Aug. 15, 1965.
28. S. Yeh, L. Betyar, and E. Hon, “Computer diagnosis of fetal heart rate patterns,” Amer. J. Obst. and Gynecol., vol. 114, pp. 890-897, Dec. 1, 1972.
29. E. Hon and S. Lee, “Noise reduction in fetal electrocardiography,” Amer. J. Obst. and Gynecol., vol. 87, pp. 1087-1096, Dec. 15, 1963.
30. J. Van Bemmel, “Detection of weak foetal electrocardiograms by autocorrelation and crosscorrelation of envelopes,” IEEE Trans. Biomed. Eng., vol. BME-15, pp. 17-23, Jan. 1968.
31. J. R. Cox, Jr., and L. N. Medgyesi-Mitschang, “An algorithmic approach to signal estimation useful in fetal electrocardiography,” IEEE Trans. Biomed. Eng., vol. BME-16, pp. 215-219, July 1969.
32. J. Van Bemmel, L. Peeters, and S. Hengeveld, “Influence of the maternal ECG on the abdominal fetal ECG complex,” Amer. J. Obst and Gynecol., vol. 102, pp. 556-562, Oct. 15, 1968.
33. W. Walden and S. Birnbaum, “Fetal electrocardiography with cancellation of maternal complexes,” Amer. J. Obst. and Gynecol., vol. 94, pp. 596-598, Feb. 15, 1966.
34. J. Capon, R. J. Greenfield, and R. J. Kolker, “Multidimensional maximum likelihood processing of a large aperture seismic array,” ray,” Proc. IEEE, vol. 55, pp. 192-211, Feb. 1967.
35. S. P. Applebaum, “Adaptive arrays,” Special Projects Lab., Syracuse Univ. Res. Corp., Rep. SPL 769.
36. L. J. Griffiths, “A simple adaptive algorithm for real-time processing in antenna arrays,” Proc. IEEE, vol. 57, pp. 1696-1704, Oct. 1969.
37. O. L. Frost, III, “An algorithm for linearly constrained adaptive array processing,”Proc. IEEE, vol. 60, pp. 926-935, Aug. 1972.
38. K. Senne, “Adaptive linear discrete-time estimation,” Stanford Electronics Lab., Stanford Univ., Rep. SEL-68-090, June 1968 (Ph.D. dissertation).
39. T. Daniell, “Adaptive estimation with mutually correlated training samples,” Stanford Electronics Lab., Stanford Univ., Rep. SEL-68-083, Aug. 1968 (Ph.D. dissertation).
40. J. K. Kim and L. D. Davisson, “Adaptive linear estimation for stationary M-dependent processes,” IEEE Trans. Inform. Theory, vol. IT-21, 23-31, Jan. 1975.
41. B. Widrow, “Adaptive filters 1: Fundamentals,” Stanford Electronics Lab., Stanford Univ., Rep. SU-SEL-66-126, Dec. 1966.
42. L. J. Griffiths, “Rapid measurement of instantaneous frequency,” IEEE Trans. Acoustics, Speech, and Signal Processing, vol. ASSP-23, pp. 209-222, Apr. 1975.
43. J. P. Burg, “Maximum entropy spectral analysis,” presented at the 37th Annual Meeting, Soc. Exploration Geophysicists, Oklahoma City, Okla., 1967.
44. P. M. Woodward, Probability and Information Theory with Applications to Radar, 2nd ed. London: Pergamon Press, 1964.
45. M. I. Skolnik, Introduction to Radar Systems. New York: McGraw-Hill, 1962.
46. P. Swerling, “Probability of detection for fluctuating targets,” IRE Trans. Inform. Theory, vol. IT-6, pp. 269-308, Apr. 1960.
47. J. I. Marcum, “A statistical theory of target detection by pulsed radar: Mathematical appendix,” IRE Trans. Inform. Theory, vol. IT-6, pp. 145-267, Apr. 1960.