Adaptive Filtering Papers

1. J. Kivinen, M.K. Warmuth and B. Hassibi, The p-norm generalization of the LMS algorithm for adaptive filtering, IEEE Transactions on Signal Processing, vol 54, no 5, pages 1782-1793, May 2006.

2. B. Hassibi, On the robustness of LMS filters, in Least-Mean-Square Adaptive Filters, S. Haykin and B. Widrow, Eds., John Wiley & Sons, 2003.

3. B. Sayyarrodsari, J.P. How, B. Hassibi and A. Carrier, Estimation-based synthesis of H-infinity-optimal adaptive FIR filters for filtered-LMS problems. IEEE Transactions on Signal Processing, vol.49, no.1, Jan. 2001, pages 164-78.

4. B. Sayyarrodsari, J.P. How, B. Hassibi and A. Carrier, Estimation-based multi-channel adaptive algorithm for filtered-LMS problems, Proceedings of the 2000 American Control Conference, pages 3192-97.

5. A. Maleki-Tehrani, B. Sayyarrodsari, B. Hassibi, J.P. How and J. Cioffi, Estimation-based synthesis of H/sub infinity /-optimal adaptive equalizers over wireless channels, Seamless Interconnection for Universal Services. Global Telecommunications Conference. GLOBECOM'99, 1999, pages 457-61.

6. A. Maleki-Tehrani, B. Hassibi and J. Cioffi, Adaptive equalization of multiple-input multiple-output (MIMO) frequency-selective channels, Proceedings of the 33rd Asilomar Conference on Signals, Systems and Computers Pacific Grove, CA, Nov 1999, pages 547-51.

7. T. Kailath, A.H. Sayed, and B. Hassibi, Kalman filters, in Wiley Encyclopedia of Electrical and Electronics Engineering, 1998.

8. B. Sayyarrodsari, J. How, B. Hassibi and A. Carrier, An LMI formulation of the estimation-based approach to the design of adaptive filters, Proceedings of the 37th IEEE Conference on Decision and Control, Tampa, FL, 1998, pages 158-60.

9. B. Sayyarrodsari, B. Hassibi and J. How, An H-infinity-optimal alternative to the FxLMS algorithm, Proceedings of the 1998 American Control Conference, Philadelphia, PA, 1998, pages 1116-21.

10. B. Sayyarrodsari, B. Hassibi, J. How and A. Carrier, An estimation-based approach to the design of adaptive IIR filters, Proceedings of the 1998 American Control Conference, Philadelphia, PA, 1998, pages 3148-52.

11. A.H. Sayed, B. Hassibi and T. Kailath, Adaptive filtering, in McGraw-Hill Encyclopedia of Science & Technology, S.P. Parker, Editor, McGraw-Hill, 1997.

12. B. Hassibi and T. Kailath, On adaptive filtering with combined least-mean-squares and H-infinity criteria, Proceedings of the 31st Asilomar Conference on Signals, Systems and Computers Pacific Grove, CA, Nov 1997, pages 1570-74.

13. B. Hassibi, A.H. Sayed and T. Kailath, H-infinity optimality of the LMS algorithm, IEEE Transactions on Signal Processing, vol. 44, no. 2, Feb. 1996.

14. B. Hassibi and T. Kailath, Mixed least-mean-squares/H-infinity-optimal adaptive filtering, Proceedings of the 30th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Nov 1996.

15. B. Hassibi, A.H. Sayed and T. Kailath, LMS is H-infinity optimal, in Adaptive Control, Filtering and Signal Processing, K.J. Astrom, G.C. Goodwin and P.R. Kumar Eds., pp. 65-89, Springer-Verlag, 1995.

16. B. Hassibi and T. Kailath, H-infinity adaptive filtering, Proceeding of the 1995 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 949-952, Detroit, MI, May 1995.

17. B. Hassibi, A.H. Sayed and T. Kailath, H-infinity optimality criteria for LMS and backpropagation, in Advances in Neural Information Processing Systems, Vol 6, J.D. Cowan, G. Tesauro and J. Alspector, Eds., pp. 351-359, Morgan-Kaufmann, Apr 1994.

18. B. Hassibi, A.H. Sayed and T. Kailath, LMS and backpropagation are minimax filters, in Theoretical Advances in Neural Computation and Learning, V. Roychowdhury, K.Y. Siu, and A. Orlitsky, Eds., pp. 424-449, Kluwer 1994.

19. B. Hassibi and T. Kailath, Adaptive filtering with an H-infinity criterion, Proceedings of 28th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Nov 1994.

20. B. Hassibi, A.H. Sayed and T. Kailath, LMS is H-infinity optimal, Proceedings of the 32nd IEEE Conference on Decision and Control, pp.74-80, San Antonio, TX, Dec 1993.

21. B. Hassibi, A.H. Sayed and T. Kailath, LMS and backpropagation are minimax filters, Proceedings of the 1993 NIPS workshop on Complexity Issues in Neural Computation and Learning, Dec 1993, Vail, CO.