$${\mathcal {L}}_p$$-norm of the LMS algorithm for bilinear forms with $$\alpha $$-stable processes-Reference-Cited by-同舟云学术

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$${\mathcal {L}}_p$$-norm of the LMS algorithm for bilinear forms with $$\alpha $$-stable processes

Published:2019-05-28 Issue:1 Volume:31 Page:191-203
ISSN:0923-6082
Container-title:Multidimensional Systems and Signal Processing
language:en
Short-container-title:Multidim Syst Sign Process

Author:

Lu Lu,Yu Yi

Funder

National Science Foundation of P.R. China

China Postdoctoral Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software

Link

http://link.springer.com/content/pdf/10.1007/s11045-019-00659-2.pdf

Reference31 articles.

1. Althahab, A. Q. J. (2018). A new robust adaptive algorithm based adaptive filtering for noise cancellation. Analog Integrated Circuits and Signal Processing, 94, 217–231.

2. Arikan, O., Cetin, A. E., & Erzin, E. (1994). Adaptive filtering for non-Gaussian stable processes. IEEE Signal Processing Letters, 1, 163–165.

3. Aydin, G., Arikan, O., & Cetin, A. E. (1999). Robust adaptive filtering algorithms for $$\alpha $$-stable random processes. IEEE Transactions on Circuits and Systems, II(46), 198–202.

4. Baik, H. K., & Mathews, V. J. (1993). Adaptive lattice bilinear filters. IEEE Transactions on Signal Processing, 41, 2033–2046.

5. Benesty, J., Paleologu, C., & Ciochina, S. (2017). On the identification of bilinear forms with the Wiener filter. IEEE Signal Processing Letters, 24, 653–657.

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