References
- A. H. Sayed. Adaptive filters. Hoboken, NJ: Wiley, 2008.
- A. Mandal, R. Mishra, B. K. Kaushik, and N. Z. Rizvi, “Design of LMS adaptive radar detector for non-homogeneous interferences,” IETE Tech. Rev., Vol. 33, no. 3, pp. 269–279, 2016.
- A. Sharma, and S. Mathur, “Performance analysis of adaptive array signal processing algorithms,” IETE Tech. Rev., Vol. 33, no. 5, pp. 472–491, 2016.
- A. M. Al Omour, A. Zidouri, N. Iqbal, and A. Zerguine, “Filtered-X Least Mean Fourth (FXLMF) and Leaky FXLMF adaptive algorithms,” EURASIP J. Adv. Signal Proces., Vol. 2016, no. 1, pp. 1–20, Dec. 2016.
- P. Song, and H. Zhao, “Filtered-x generalized mixed norm (FXGMN) algorithm for active noise control,” Mech. Syst. Signal. Process., Vol. 107, pp. 93–104, Jul. 2018.
- P. Song, and H. Zhao, “Filtered-x least mean square/fourth (FXLMS/F) algorithm for active noise control,” Mech. Syst. Signal. Process., Vol. 120, pp. 69–82, Apr. 2019.
- M. Ferrer, A. Gonzalez, M. de Diego, and G. Pinero, “Convex combination filtered-X algorithms for active noise control Systems,” IEEE Trans. Audio Speech Lang. Process., Vol. 21, no. 1, pp. 156–167, Jan. 2013.
- J. Arenas-Garcia, A. R. Figueiras-Vidal, and A. H. Sayed, “Mean-square performance of a convex combination of two adaptive filters,” IEEE Trans. Signal Process., Vol. 54, no. 3, pp. 1078–1090, Mar. 2006.
- V. H. Nascimento and R. C. de Lamare, “A low-complexity strategy for speeding up the convergence of convex combinations of adaptive filters”, in 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 2012, pp. 3553–3556.
- L. A. Azpicueta-Ruiz, A. R. Figueiras-Vidal, and J. Arenas-Garcia. “A normalized adaptation scheme for the convex combination of two adaptive filters,” in 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, USA, 2008, pp. 3301–3304.
- M. Ferrer, M. de Diego, A. Gonzalez and G. Piñero, “Convex combination of affine projection algorithms,” in 2009 17th European Signal Processing Conference, Glasgow, 2009, pp. 431-435.
- K.-H. Kim, S.-E. Kim, and W.-J. Song, “An Alternating selection for parallel affine projection filters,” IEICE Trans. Fundam. Electron. Commun. Comput. Sci., Vol. E94-A, no. 7, pp. 1576–1580, 2011.
- M. T. M. Silva, and V. H. Nascimento, “Improving the tracking Capability of adaptive filters via convex combination,” IEEE Trans. Signal Process., Vol. 56, no. núm. 7, pp. 3137–3149, jul. 2008.
- J. Arenas-García, M. Martínez-Ramón, Á Navia-Vázquez, and A. R. Figueiras-Vidal, “Plant identification via adaptive combination of transversal filters,” Signal. Process., Vol. 86, no. 9, pp. 2430–2438, Sep. 2006.
- J. Arenas-Garcia, L. A. Azpicueta-Ruiz, M. T. M. Silva, V. H. Nascimento, and A. H. Sayed, “Combinations of adaptive filters: performance and convergence properties,” IEEE Signal Process Mag., Vol. 33, no. 1, pp. 120–140, Jan. 2016.
- Á. A Vázquez, et al., “Multichannel active noise controlbased on filtered-x affine projection-like and LMS algorithms with switching filter selection,” Appl. Sci., Vol. 9, no. 21, pp. 1–15, article no. 4669, Nov. 2019.
- C. Paleologu, S. Ciochina, and J. Benesty, “Variable step-size NLMS algorithm for Under-Modeling acoustic echo cancellation,” in IEEE Signal Process. Lett., Vol. 15, pp. 5–8, 2008.
- F. Yang, and J. Yang, “A comparative survey of fast affine projection algorithms,” Digit. Signal. Process., Vol. 83, pp. 297–322, Dec. 2018.
- G. Sanchez, J. G. Avalos, A. Vazquez, L. Garcia, T. Frias, K. Toscano, and H. Perez, “A compact neuromorphicarchitecture with dynamic routing to efficiently simulatethe FXECAP-L algorithm for real-time active noise con-trol,” Appl. Soft. Comput., Vol. 91, no. 106233, pp. 1–18, Jun. 2020.