[1] Ahmad, M. S., Kukrer, O., Hocanin, A. (2011). Recursive inverse adaptive filtering algorithm. Digital Signal Processing, 21(4), 491–496.
[2] Bekrani, M., Lotfizad, M., Khong, A. W. H. (2010). An efficient quasi-LMS/Newton adaptive algorithm for stereophonic acoustic echo cancellation. In Proc. IEEE Asia Pac. Conf. Circuits Syst. (pp. 684–687).
[3] Bekrani, M., Khong, A. W. H., Lotfizad, M. (2011). A linear neural network based approach to stereophonic acoustic echo cancellation. IEEE Transactions on Audio, Speech, and Language Processing, 19(6), 1743–1753.
[4] Bekrani, M., Bibak, R., Lotfizad, M. (2019). Improved clipped affine projection adaptive algorithm. IET Signal Processing, 13(1), 103–111.
[5] Douglas, S. (1995). The fast affine projection algorithm for active noise control. In Asilomar Conference on Signals, Systems and Computers (pp. 1245–1249).
[6] Farhang-Boroujeny, B. (2013). Adaptive filters: Theory and applications (2nd ed.). John Wiley and Sons.
[7] Gay, S. L. (1993). A fast converging, low complexity adaptive filtering algorithm. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (pp. 1245–1249).
[8] Gonzalez, A., Ferrer, M., Albu, F., Diego, M. (2012). Affine projection algorithms: Evolution to smart and fast algorithms and applications. In Proc. 20th European Signal Processing Conference (pp. 1965–1969).
[9] Haykin, S. (2014). Adaptive filter theory (5th ed.). Pearson. https://www.pearson.com/
[10] Hou, Y., Li, G., Zhang, H., Zhang, H., Zhao, J. (2024). Affine projection algorithm with outlier detection for robust filtering. IEEE Transactions on Circuits and Systems II: Express Briefs.
[11] Huang, F., Zhang, J., Zhang, S. (2016). Combined-step-size affine projection sign algorithm for robust adaptive filtering in impulsive interference environments. IEEE Transactions on Circuits and Systems, 63(5), 493–497.
[12] Husøy, J. H., Abadi, M. S. E. (2017). On the convergence speed of the normalized subband adaptive filter: Some new insights and interpretations. In International Symposium on Signals, Circuits and Systems.
[13] Koike, S. I. (2016). Analysis of affine projection normalized correlation algorithm. In International Symposium on Intelligent Signal Processing and Communication Systems.
[14] Lee, K., Bæk, Y., Park, Y. (2015). Nonlinear acoustic echo cancellation using a nonlinear postprocessor with a linearly constrained affine projection algorithm. IEEE Transactions on Circuits and Systems II: Express Briefs, 62(9), 881–885.
[15] Liu, D., Zhao, H. (2023). Affine projection sign subband adaptive filter algorithm with unbiased estimation under system identification. IEEE Transactions on Circuits and Systems II: Express Briefs, 70 (3), 1209–1213.
[16] Nita, V. A., Dobre, R. A., Ciochina, S., Paleologu, C. (2017). Improved convergence model of the affine projection algorithm for system identification. In International Symposium on Signals, Circuits and Systems.
[17] Petraglia, M. R., Haddad, D. B., Marques, E. L. (2016). Affine projection subband adaptive filter with low computational complexity. IEEE Transactions on Circuits and Systems II: Express Briefs, 63(10), 989–993.
[18] Poletti, M. A., Teal, P. D. (2021). A superfast Toeplitz matrix inversion method for single- and multi-channel inverse filters and its application to room equalization. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29(6), 3144–3157.
[19] Salman, M. S., Kukrer, O., Hocanin, A. (2012). A fast implementation of quasi-Newton LMS algorithm using FFT. In Proc. Inf. Commun. Technol. Appl. (pp. 510–513).
[20] Salman, M. S., Kukrer, O., Hocanin, A. (2020). A fast quasi-Newton adaptive algorithm based on approximate inversion of the autocorrelation matrix. IEEE Access, 8, 47877–47887.
[21] Tsinos, C. G., Diniz, P. S. R. (2019). Data-selective LMS-Newton and LMS-Quasi-Newton algorithms. In Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (pp. 4848–4852).
[22] Wu, M., Xiong, N., Vasilakos, A. V., Leung, V. C. M., Chen, C. L. P. (2022). RNN-K: A reinforced Newton method for consensus-based distributed optimization and control over multiagent systems. IEEE Transactions on Cybernetics, 52(5), 4012–4026.
[23] Yuan, W. Y., Zhou, Y., Huang, Z. Y., Liu, H. Q. (2015). A VAD-based switch fast LMS/Newton algorithm for acoustic echo cancellation. In Proc. IEEE Int. Conf. Digit. Signal Process. (pp. 967–970).
[24] Zhao, H., Zheng, Z. (2016). Bias-compensated affine-projection-like algorithms with noisy input. Electronics Letters, 52(9), 712–714.
[25] Zhao, J., Ni, X., Li, Q., Tang, L., Zhang, H. (2024). Evolving order based affine projection sign algorithm for enhanced adaptive filtering. IEEE Signal Processing Letters, 31, 1530–1534.
[26] Zorkun, A. E., Salas-Natera, M. A., Martínez Rodriguez-Osorio, R. (2022). Improved iterative inverse matrix approximation algorithm for zero forcing precoding in large antenna arrays. IEEE Access, 10, 100964–100975.