Efficient Time-Varying q-Parameter Design for q-Incremental Least Mean Square Algorithm with Noisy Links
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s00034-022-02048-w.pdf
Reference46 articles.
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2. A. Ahmed, M. Moinuddin, U.M. Al-Saggaf, q-state space least mean family of algorithms. Circuits Syst. Signal Process. (2017). https://doi.org/10.1007/s00034-017-0569-7
3. A.U. Al-Saggaf, M. Arif, U.M. Al-Saggaf, M. Moinuddin, The q-normalized least mean square algorithm, in 2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) (2016), pp. 1–6. https://doi.org/10.1109/ICIAS.2016.7824098
4. U.M. Al-Saggaf, M. Moinuddin, M. Arif, A. Zerguine, The q-least mean squares algorithm. Signal Process. 111(C), 50–60 (2015)
5. U.M. Al-Saggaf, M. Moinuddin, A. Zerguine, An efficient least mean squares algorithm based on q-gradient, in 2014 48th Asilomar Conference on Signals, Systems and Computers (2014), pp. 891–894. https://doi.org/10.1109/ACSSC.2014.7094580
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