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• W1783999700 abstract "We study the effect of fading in the communication channels between sensor nodes on the performance of the incremental least mean square (ILMS) algorithm, and derive steady state performance metrics, including the mean-square deviation (MSD), excess mean-square error (EMSE) and meansquare error (MSE). We obtain conditions for mean convergence of the ILMS algorithm, and show that in the presence of fading channels, the ILMS algorithm is asymptotically biased. Furthermore, the dynamic range for mean stability depends only on the mean channel gain, and under simplifying technical assumptions, we show that the MSD, EMSE and MSE are non-decreasing functions of the channel gain variances, with mean-square convergence to the steady states possible only if the channel gain variances are limited. We derive sufficient conditions to ensure mean-square convergence, and verify our results through simulations." @default.
• W1783999700 created "2016-06-24" @default.
• W1783999700 creator A5040036501 @default.
• W1783999700 creator A5082697963 @default.
• W1783999700 date "2015-09-09" @default.
• W1783999700 modified "2023-09-27" @default.
• W1783999700 title "Performance Analysis of Incremental LMS over Flat Fading Channels" @default.
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• W1783999700 hasPublicationYear "2015" @default.
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