An Incremental Noise Constrained Least Mean Square Algorithm

dc.contributor.author	Hameed, Usman
dc.contributor.author	Khawaja, Sajid Gul
dc.contributor.author	Saeed, Muhammad Omer Bin
dc.date.accessioned	2024-11-18T09:38:13Z
dc.date.available	2024-11-18T09:38:13Z
dc.date.issued	2019-09-18
dc.description.abstract	This work proposes a distributed estimation algorithm for wireless sensor network, based on the incremental scheme. The proposed algorithm utilizes the noise variance in order to improve performance. The derivation and mean analysis are shown. The mean analysis of the algorithm is performed which show the range of step size and the stability of the algorithm. Under different scenarios experimental results show the superiority of the proposed algorithm. Keywords Estimation, Signal to noise ratio, Adaptive algorithms, Cost function, Adaptive systems
dc.identifier.citation	Hameed, U., Khawaja, S. G., & Saeed, M. O. B. (2019, September). An incremental noise constrained least mean square algorithm. In 2019 5th International Conference on Frontiers of Signal Processing (ICFSP) (pp. 21-25). IEEE.
dc.identifier.doi	https://doi.org/10.1109/ICFSP48124.2019.8938040
dc.identifier.uri	https://repository.adu.ac.ae/handle/1/7056
dc.language.iso	en_US
dc.publisher	IEEE
dc.title	An Incremental Noise Constrained Least Mean Square Algorithm
dc.type	Conference Paper

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