The Use of Orthogonal Transforms for Improving Performance of Adaptive Filters

IEEE Transactions on Circuits and Systems

Volumn 36, Issue 4, 1989, Pages 474-484

  Marshall, Daniel F ^a,b   Jenkins, W Kenneth ^a   Murphy, J J ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b MIT LINCOLN LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC FILTERS, DIGITAL; MATHEMATICAL TECHNIQUES--LEAST SQUARES APPROXIMATIONS; MATHEMATICAL TRANSFORMATIONS; SIGNAL PROCESSING--DIGITAL TECHNIQUES;

ADAPTIVE FILTERS; KARHUNEN-LOEVE TRANSFORM; ORTHOGONAL TRANSFORMS; PARTIALLY UNCORRELATED COMPONENTS; TRANSFORM-DOMAIN ADAPTIVE FILTER (TDAF);

SIGNAL FILTERING AND PREDICTION;

EID: 0024646362     PISSN: 00984094     EISSN: None     Source Type: Journal    
DOI: 10.1109/31.92880     Document Type: Article

References (18)

1. B. Widrow and S. D. Stearns, Adaptive Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1985.
2. M. Dentino, J. McCool, and B. Widrow, “Adaptive filtering in the frequency domain,” Proc. IEEE, vol. 66, pp. 1658-1659, Dec. 1978.
3. T. Walzman and M. Schwartz, “Automatic equalization using the discrete frequency domain,” IEEE Trans. Inform. Theory, vol. IT-19, pp. 59-68, Jan. 1973.
4. S. S. Narayan, A. M. Peterson, and M. J. Narasimha, “Transform domain LMS algorithm,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-31, pp. 609-615, June 1983.
5. J. C. Lee and C. K. Un, “Performance of transform domain LMS adaptive digital filters,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-34, pp. 499-510, June 1986.
6. W. K. Jenkins and J. R. Kreidle, “Adaptive digital filters using the Walsh-Hadamard transform,” in Proc. 1986 Int. Symp. on Circuits and Systems, San Jose, CA, pp. 875-878, May 1986.
7. W. K. Jenkins and D. F. Marshall, “On the analysis and design of unitary transformations for adaptive FIR digital filters,” in Proc. 29th Midwest Symp. on Circuits and Systems, Lincoln, NE, Aug. 1986.
8. E. R. Ferrara. “Fast implementation of LMS adaptive filters,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-28, pp. 474-475, Aug. 1980.
9. B. Widrow. J. McCool, and M. Ball, “The complex LMS algorithm,” Proc. IEEE, vol. 63, pp. 719-720, Apr. 1975.
10. B. Widrow, J. M. McCool, M. G. Larimore, and C. R. Johnson, Jr., “Stationary and nonstationary learning characteristics of the LMS adaptive filter,” Proc. IEEE, vol. 64. Aug. 1976.
11. M. L. Honig and D. G. Messerschmitt, Adaptive Filters: Structures, Algorithms, and Applications. Boston, MA: Kluwer Academic, 1984.
12. W. K. Pratt, Digital Image Processing, New York: Wiley, 1978.
13. A. V. Oppenheim and R. W. Schafer, Digital Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1975.
14. N. Ahmed. T. Natarajan, and K. R. Rao, “Discrete cosine transform,” IEEE Trans. Comput., vol. C-23, pp. 90-93. Jan. 1974.
15. R. C. Gonzalez and P. Wintz. Digital Image Processing. Reading, MA: Addison-Wesley, 1977.
16. J. J. Murphy, “A comparison of transform domain adaptive filters, with emphasis on the Hartley transform,” M.S. thesis, Univ. of Illinois, Urbana, June 1987.
17. R. N. Bracewell, “The discrete Hartley transform,” J. Opt. Soc. Amer., vol. 73, pp. 1832-1835, Dec. 1983.
18. R. N. Bracewell, “The fast Hartley transform,” Proc. IEEE, vol. 72, pp. 1010-1018, Aug. 1984.