Noisy input-output system identification approach for time delay estimation
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[1] Hing Cheung So,et al. LMS-based algorithm for unbiased FIR filtering with noisy measurements , 2001 .
[2] S. Thomas Alexander,et al. Adaptive Signal Processing , 1986, Texts and Monographs in Computer Science.
[3] Sun-Yuan Kung,et al. On gradient adaptation with unit-norm constraints , 2000, IEEE Trans. Signal Process..
[4] Wei Xing Zheng,et al. A computationally efficient scheme for estimating linear noisy input-output systems , 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).
[5] Asoke K. Nandi,et al. Adaptive subsample time delay estimation using Lagrange interpolators , 1999, IEEE Signal Processing Letters.
[6] G. Clifford Carter. Coherence and time delay estimation : an applied tutorial for research, development, test, and evaluation engineers , 1993 .
[7] K. C. Ho,et al. Bias removal in equation-error adaptive IIR filters , 1995, IEEE Trans. Signal Process..
[8] K. C. Ho,et al. Adaptive time-delay estimation in nonstationary signal and/or noise power environments , 1993, IEEE Trans. Signal Process..
[9] Yiu-Tong Chan,et al. Modeling of time delay and its application to estimation of nonstationary delays , 1981 .
[10] G. Carter. Coherence and time delay estimation , 1987, Proceedings of the IEEE.
[11] N. Bershad,et al. Time delay estimation using the LMS adaptive filter--Dynamic behavior , 1981 .
[12] Pak-Chung Ching,et al. A new algorithm for explicit adaptation of time delay , 1994, IEEE Trans. Signal Process..
[13] Carlos E. Davila,et al. An efficient recursive total least squares algorithm for FIR adaptive filtering , 1994, IEEE Trans. Signal Process..
[14] Zheng Bao,et al. Total least mean squares algorithm , 1998, IEEE Trans. Signal Process..