Distributed Adaptive Filtering of α-Stable Signals

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

15 Sitaatiot (Scopus)
149 Lataukset (Pure)

Abstrakti

A cost-effective framework for distributed filtering of α-stable signals over sensor networks is proposed. To this end, the problem of filtering α-stable signals through multiple observations made over a network of sensors is revisited and an optimal solution is formulated. Then, an adaptive gradient descent based algorithm for distributed real-time filtering of α-stable signals via multi-agent networks is derived. The derived algorithm not only gives an approximation of the formulated optimal solution, but is also cost-effective and scalable with the size of the network. Moreover, performance of the derived algorithm is analyzed and convergence conditions are established.

AlkuperäiskieliEnglanti
Sivut1450 - 1454
Sivumäärä5
JulkaisuIEEE Signal Processing Letters
Vuosikerta25
Numero10
DOI - pysyväislinkit
TilaJulkaistu - lokakuuta 2018
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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