冯成燕, 吴援明, 刘刚, 祝正威. 基于改进NLMS算法的自适应均衡技术研究. 信号处理, 2005, 21(6): 649-652.[2]Widrow B, McCool J M, Larimore M G, Johnson C R. Stationary and nonstationary learning characteristics of the LMS adaptive filter[J].Proc. IEEE.1976, 64(8):1151-1162[3]Widrow B, Walach. On the statistical efficiency of the LMS algorithm with nonstationary inputs. IEEE Trans. on Inform. Theory, Special Issue on Adaptive Filtering, 1984, IT-30(3): 211-221.[4]Macchi O. Optimization of adaptive identification for time-varying filters. IEEE Trans. on Automat. Contr., 1986, AC-31: 283-287.[5]Farhang-Borojeny B, Gazor S. Performance of LMS-based adaptive filters in tracking a time-varying plant[J].IEEE Trans. on Signal Processing.1996, 44(11):2868-2871[6]Al-Naffouri T Y, Sayed A H. Transient analysis of data-normalized adaptive filters[J].IEEE Trans. on Signal Processing.2003, 51(3):639-652[7]Sundar G.Sankaran, Beex A A. Tracking Analysis Results for NLMS and APA. IEEE Trans. Acoustics, Speech, and Signal Processing, 2002 Proceedings. IEEE International Conference: 1105-1108.[8]Macfhi O, Bershad N. Adaptive recovery of a chirped sinusoid in Noise, Part 1: Performance of the RLS algorithm[J].IEEE Trans. on Signal Processing.1991, 39(3):583-594[9]Macfhi O, Bershad N. Adaptive recovery of a chirped sinusoid in Noise, Part 1: Performance of the LMS Algorithm[J].IEEE Trans. on Signal Processing.1991, 39(3):595-602[10]Bershad N J, Feintuch P L, Reed F A, Fisher B. Tracking characteristics of the LMS adaptive line enhancer-response to a linear chirp signal in noise[J].IEEE Trans. on Acouse., Speech, Signal Processing.1980, 28(5):504-516[11]张华. 低信噪比下线性调频信号的检测与参量估计研究. [硕士学位论文], 电子科技大学, 2004.
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