A constrained transform domain adaptive IIR filter structure for active noise control

IEEE Transactions on Speech and Audio Processing

Volumn 5, Issue 4, 1997, Pages 334-347

  Nowak, Michael P ^a   Van Veen, Barry D ^b  

^a Digisonix   (United States)

^b University of Wisconsin Madison   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC VARIABLES CONTROL; ADAPTIVE ALGORITHMS; ADAPTIVE FILTERING; FREQUENCY RESPONSE; LOUDSPEAKERS; SYSTEM STABILITY;

TIME DOMAIN; TRANSFORM DOMAIN; TRANSFORM RECURSIVE LEAST MEAN SQUARE ADAPTIVE FILTER;

DIGITAL FILTERS;

EID: 0031188363     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/89.593307     Document Type: Article

References (17)

1. P. L. Feintuch, "An adaptive recursive LMS filter," Proc. IEEE, vol. 64, pp. 1622-1624, Nov. 1976.
2. L. J. Eriksson, "Development of the filtered-U algorithm for active noise control," J. Acoust. Soc. Amer., vol. 89, pp. 257-265, Jan. 1991.
3. S. Haykin, Adaptive Filler Theory. . Englewood Cliffs, NJ: Prentice-Hall, 1991.
4. P. A. Nelson and S. J. Elliott, Active Control of Sound. New York: Academic, 1990.
5. K. F. Delfosse, M. C. Allie, and S. R. Popovich, "A method of improving stability in an active noise control system via an adaptive spectral constraint," in Proc. inter-Noise '94, Yokohama, Japan.
6. I. Kim, H. Na, K. Kirn, and Y. Park, "Constraint filtered-.r and filtered-u least-mean-square algorithms for the active control of noise in ducts," J. Acoust. Soc. Amer., vol. 95, pp. 3379-3389, June 1994.
7. J. C. Lee and C. K. Un, "Performance of transform-domain LMS adaptive digital filters," IEEE Trans. Acoust., Speech, Signal Processing, vol. 34, pp. 499-51C, June 1986.
8. S. S. Narayan, A. M. Peterson, and M. J. Narasimha, 'Transform domain LMS algorithm," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-31, pp. 609-614, June 1983.
9. B. Widrow and S. D. Stearns, Adaptive Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1985.
10. J. B. Rosen, "The gradient projection method for nonlinear programming, pt. 1: Linear constraints," J. Soc. Ind. Appl. Math., vol. 8, p. 181, Mar. 1960.
11. D. G. Luenberger, Optimization by Vector Space Methods. New York: Wiley, 1969.
12. O. T. Frost III, "An algorithm for linearly constrained adaptive array processing," in Proc. IEEE, vol. 60, pp. 926-935, Aug. 1972.
13. M. Von Golitschek and L. L. Schumaker, "Data fitting by penalized least squares," in Algorithms for Approximation II. London, U.K.: Chapman & Hall, 1990, pp. 210-227.
14. J. J. Shynk, "Frequency-domain and multirate adaptive filtering," IEEE Aeons!., Speech, Signal Processing Mag., pp. 14-37, Jan. 1992.
15. D. Slepian, "Prolate spheroidal wave functions, Fourier analysis, and uncertainty-V: The discrete case," Bell Svst. Tech. J., vol. 57, pp. 1372-1430, May-June 1978.
16. P. P. Vaidyanathan, Multirate Svstems anil Filter Banks. Englewood Cliffs, NJ: Prentice-Hall, 1993.
17. The technology described in this paper is the subject of various U.S. and foreign patents and patent applications of DIGISONIX, Inc.