Polyphase based adaptive structure for adaptive filtering and tracking

IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing

Volumn 43, Issue 3, 1996, Pages 220-233

  Lyer, Umashankar ^a,b   Nayeri, Majid ^b   Ochi, Hiroshi ^c  

^a IEEE

^b Michigan State University   (United States)

^c UNIVERSITY OF THE RYUKYUS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; DIGITAL FILTERS; FREQUENCY DOMAIN ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); THEOREM PROVING;

ACCUMULATORS; IMPULSE RESPONSES; SAMPLING FREQUENCY FILTER BANK;

ADAPTIVE FILTERING;

EID: 0030106446     PISSN: 10577130     EISSN: None     Source Type: Journal    
DOI: 10.1109/82.486468     Document Type: Article

References (24)

1. B. Widrow and S. Stearns. Adaptive Signal Processing. Englewood Cliffs, NJ: Prentice Hall. 1985.
2. B. Mulgrew and C. Cowan. Adaptive Filters and Equalisers. Boston, MA: Kluwer Academic, 1988.
3. T. Apostol, Mathematical Analysis. New Delhi: Narossa, 1991.
4. A. Gillore and M. Vetterli, "Adaptive filtering in subbands with critical sampling: Analysis, experiments and application to acoustic echo cancellation," IEEE Trans. Signal Process., vol. 40, pp. 1862-1874, Aug. 1992.
5. V. Somayajulu, S. Mitra, and J. Shynk, "Adaptive, line enhancement using multirate techniques," in Prac. ICASSP, May 1989, pp. 928-931.
6. M. Asharif, F. Amano, S. Unagami, and K, Murano, "Acoustic echo canceller based on frequency bin adaptive filters (FAF)," in Proc. IEEE Int. Conf. Global Telecommn., Nov. 1987. pp. 1940-944.
7. U. lyer, M. Nayeri, and H. Ochi, "A poly-phase structure for system identification and adaptive filtering," in Proc. ICASSP, Apr. 1994, vol. 3, pp. 433-436.
8. J. Shynk, "Frequency-domain and multirate adaptive filtering," IEEE Signal Process. Mag., vol. 6, pp. 14-37, Jan. 1992.
9. Crochiere and Rabmer, Multirate Digital Signal Processing. Englewood Cliffs, NJ: Prentice Hall, 1983.
10. J. Proakis and D. Manolalds, Introduction to Digital Signa/ Processing. Singapore: Maxwell Macmillan, 1992.
11. T. Tuncer and G. Sandri, "Orthonormal wavelet representation using Butterworth filters," in Proc. SP1E. Conf. Adaptive and Learning Systems, Apr. 1992.
12. U. lyer, H. Ochi, and M. Nayeri, "1IR subband adaptive filtering," in Proc. Midwest Symp. Syst. Circuits, Aug. 1993, vol. 1, pp. 125-128.
13. S. Mallat, "Multiresolution approximations and wavelet orthonormal bases of L2(R)." Trans. Amer. Mathemat. Soc., vol. 315, pp. 69-87, Sept. 1989.
14. I. Daubechies, Ten Lectures on Wavelets. Philadelphia, PA: SIAM, CMS series, 1992.
15. H. Kiya and S. Yamaguchi, "Frequency sampling filter bank for adaptive system identification," in Proc. ICASSP. vol. 4, Mar. 1992, pp. 261-264.
16. Y. Yamada, H. Ochi, and H. Kiya, "A subband adaptive filter allowing maximally decimation," IEEE J., Selected Areas Commun., vol. 12, pp. 1548-1549, Dec. 1994.
17. A. Oppenheim and Schafer, Digital Signal Processing. Englewood Cliffs, NJ: Prentice Hall, 1988.
18. P. Vaidyanathan, Multirate Systems and Filter Banks. Englewood Cliffs, NJ: Prentice Hall, 1992.
19. S. Haykin, Adaptive Filter Theory. Englewood Cliffs, NJ: Prentice Hall, 1990.
20. V. Sathe and P. Vaidyanathan, "Analysis of the effects of multirate filters on stationary random inputs, with application in adaptive filtering," in Proc. ICASSP, May 1991, vol. 3, pp. 1681-1684.
21. U. lyer, H. Ochi, and M. Nayeri, "Statistical analysis of multirate filters with stationary inputs," Tech. Rep. IECE, Japan, 1993.
22. L. Ljung and T. Soderstrom, Theory and Practice of Recursive Mentification. Cambridge, MA: MIT Press, 1983.
23. H. Fan, "New adaptive IIR filtering algorithms," Ph.D. dissertation, University of Illinois, Urbana, 1985.
24. S. Narayan, A. Petcrson, and M. Narasimha, "Transform domain EMS algorithm," IEEE Trans. Acoust., Speech, Signal Process., pp. 609-615, June 1983.