The Time-Sequenced Adaptive Filter

IEEE Transactions on Acoustics, Speech, and Signal Processing

Volumn 29, Issue 3, 1981, Pages 679-683

  Ferrara, Earl R ^a   Widrow, Bernard ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0344301638     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASSP.1981.1163597     Document Type: Article

References (10)

1. E. R. Ferrara and B. Widrow, “Multichannel adaptive filtering for signal enhancement,” IEEE Trans. Aconst., Speech, Signal Processing, vol. ASSP-29, PP. 766–770, 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, pp. 1692–1716, Dec. 1975.
4. B. Widrow, “Adaptive Filters,” in Aspects of Network and System Theoly, R. Kalman and N. DeClaris, Eds. New York: Holt, Rinehart, and Winston, 1971, pp. 563587.
5. B. Widrow et al., “Stationary and nonstationary learning characteristics of the LMS adaptive filter,” Proc. IEEE, vol. 64, pp. 1151 — 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 cyclostationary 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.