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This paper is concerned with the filtering problem for a class of nonlinear systems with stochastic sensor saturations and event-triggered measurement transmissions. An event-triggered transmission scheme is proposed with hope to ease the traffic burden and improve the energy efficiency. The measurements are subject to randomly occurring sensor saturations governed by Bernoulli distributed sequences. Special effort is made to obtain an upper bound of the filtering error covariance in thedoi:10.1080/00207179.2016.1199916 fatcat:cdat3rejfjbojpl4o37h4pm2ka