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We present an innovative approach to distributed estimation which features time- and coefficient-selective updates of parameter estimates, thereby offering a significant reduction in energy consumption in the sensor nodes. The proposed approach is based on the principles of set-membership adaptive filtering (SMAF), which allows for selective updates of parameter estimates. It also employs the principle...
Frequency-domain adaptive filtering is appealing in many applications, particularly channel equalization. This paper presents frequency-domain set-membership filtering (F-SMF) and derives adaptive algorithms for F-SMF. The F-SMF is employed to design single-carrier frequency-domain equalizer (SC-FDE). With an unconventional parameter-dependent error-bound specification, an F-SMF algorithm is derived...
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