1. Principles and applications. Proceedings of the IEEE, 1975, 63(12): 1692-1716
2. Glover J. Adaptive noise canceling applied to sinusoidal interference. IEEE Transaction on Acoustics, Speech, Signal Processing, 1977, 25(6): 484-491
3. Kamenetsky M, Widrow B. A variable leaky LMS adaptive algorithm. Proceedings of the 38th Annual Asilomar Conference on Signals, Systems and Computers(ACSSC’04): Vol 1, Nov 7-10, 2004, Pacific Grove, CA, USA. Alamitos, CA, USA: IEEE Computer Society, 2004: 125-128
4. Wang Z L, Zhang X W. A high performance speech enhancement algorithm based on double-channel adaptive noise cancelling. Proceedings of the IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologes for Wireless Communications (MAPE’05): Vol 2, Aug 8-12, 2005, Beijing, China. Piscataway, NJ, USA: IEEE, 2005: 983-986
5. Akhtar M T, Abe M, Kawamata M. A new variable step size LMS algorithm-based method for improved online secondary path modeling in active noise control systems. IEEE Transactions on Audio, Speech, and Language processing, 2006, 14(2): 720-726
6. Zhang Y G, Chanbers J A, Sanei S. A new variable tap-length LMS algorithm to model an exponential decay impulse response. IEEE Signal Processing Letters, 2007, 14(4): 263-266
7. Das D P, Panda G, Kuo S M. New block filtered-X LMS algorithms for active noise control systems. IET Signal Processing, 2007, 1(2): 73-81
8. Paschedag J, Lohmann B. Error convergence of the filtered-X LMS algorithm for multiple harmonic excitation. IEEE Transactions on Audio, Speech, and Language Processing, 2008, 16(5): 989-999
9. Toblias O J, Seara R. On the LMS algorithm with constant and variable leakage factor in a nonlinear environment. IEEE Transactions on Signal Processing, 2006, 54(9): 3448-3458
10. DU W L. Principle and application of interference cancellation technology. Telecom Science, 1988, 4(5): 51-55 (in Chinese) |