References
- Y. Huang and J. Benesty, "Adaptive Multi-channel Least Mean Square and Newton Algorithms for Blind Channel Identification," Signal Process., vol. 82, no. 8, Aug. 2002, pp. 1127-1138.
- Y. Huang and J. Benesty, "A Class of Frequency-Domain Adaptive Approaches to Blind Multichannel Identification," IEEE Trans. Signal Process., vol. 51, no. 1, Jan. 2003, pp. 11-24.
- M.K. Hasan et al., "Improving Robustness of Blind Adaptive Multichannel Identification Algorithms Using Constraints," Proc. European Signal Process. Conf., vol. 1, 2005, pp 11-14.
- M.A. Haque and M.K. Hasan, "Variable Step-Size Multichannel Frequency-Domain LMS Algorithm for Blind Identification of Finite Impulse Response Systems," IET Signal Process., vol. 1, no. 4, 2007, pp. 182-189.
- M.A. Haque and M.K. Hasan, "Robust Multichannel Least Mean Square-Type Algorithms with Fast Decaying Transient for Blind Identification of Acoustic Channels," IET Signal Process., vol. 2, no. 4, 2008, pp. 431-441.
- M.A. Haque and M.K. Hasan, "Noise Robust Multichannel Frequency-Domain LMS Algorithms for Blind Channel Identification," IEEE Signal Process. Lett., vol. 15, 2008, pp. 305- 308.
- M.A. Haque and M.K. Hasan, Matlab Simulation Code. http://teacher.buet.ac.bd/arifulhoque/publications.htm
- M.A. Haque et al., "Energy Constrained Frequency-Domain Normalized LMS Algorithm for Blind Channel Identification," J. Signal, Image, Video Process., vol. 1, no. 7, Apr. 2007, pp. 203- 213.
- D.R. Morgan, J. Benesty, and M.M. Sondhi, "On the Evaluation of Estimated Impulse Responses," IEEE Signal Process. Lett., vol. 5, no. 7, July 1998, pp. 174-176.