The Time-Sequenced Adaptive Filter

IEEE Transactions on Circuits and Systems

Volumn 28, Issue 6, 1981, Pages 519-523

  Ferrara, Earl R ^a   Widrow, Bernard ^b  

^a NORTHROP GRUMMAN CORPORATION   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SIGNAL PROCESSING;

ADAPTIVE FILTERS;

ELECTRIC FILTERS, DIGITAL;

EID: 0019582075     PISSN: 00984094     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCS.1981.1085012     Document Type: Article

References (10)

1. E. R. Ferrara and B. Widrow, “Multichannel adaptive filtering for signal enhancement,” IEEE Circuits Syst., vol. CAS-28, pp. 606–610, this issue.
2. E. R. Ferrara, “The time-sequenced adaptive filter,” Ph.D. dissertation, Stanford University, Stanford, CA, Dec. 1977.
3. B. Widrow et al., “Adaptive noise cancelling: Principles and applications,” Proc. IEEE, vol. 63, 1692–1716, Dec. 1975.
4. B. Widrow, “Adaptive Filters,” in Aspects of Network and System Theory, R. Kalman and N. DeClaris, Eds. New York: Holt, Rinehart, and Winston, 1971, 563–587.
5. B. Widrow et al., “Stationary and nonstationary learning characteristics of the LMS adaptive filter,” Proc. IEEE, vol. 64, pp. 1151—1162, 1162, Aug. 1976.
6. R. V. Southwell, Relaxation Methods in Engineering Science. New York: Oxford, 1940.
7. D. J. Wilde, Optimum Seeking Methods. Englewood Cliffs, NJ: Prentice-Hall, 1964.
8. A. R. Hambley et al., “The use of intrinsic components in an ECG filter,” IEEE Trans. Biomed. Eng., vol. BME-21, pp. 469–473, Nov. 1974.
9. W. A. Gardner and L. E. Franks, “Characterization of cyclosta-tionary random signal processes,” IEEE Trans. Inform. Theory, vol. IT-21, pp. 4–14, Jan. 1975.
10. F. D. Galiana et al., “Identification of stochastic electric load models from physical data,” IEEE Trans. Automat. Contr., vol. AC-19, pp. 887–893, Dec. 1974.