Switching filters for image salt & pepper noise removal have received considerable interests in recent years. Many switching median or mean filters have been developed. In this paper, a survey and comparative analysis are conducted among several newly developed switching filters. Their noise detection schemes are first analyzed and quantitatively assessed via two widely used measures, i.e., miss detection (MD) and false alarm (FA). Subsequently, several noise restoration ways are compared according to peak signal-to-noise ratio (PSNR).
Periodic event-triggered control (PETC) is a control strategy consisting of event-triggered control (ETC) and conventional periodic sampled-data control. By using event-triggering mechanisms (ETM) to periodically verify whether or not to transmit and compute the measured output, communication and computational datum are significantly reduced while still retaining a satisfactory performance. This paper investigates the PETC scheme of robust
∞
filtering for a class of uncertain discrete-time Takagi-Sugeno (T-S) fuzzy systems, where the sample time is assumed to be a constant. To analyze the filtering problems of the PETC strategy, we present two frameworks based on perturbed linear and piecewise linear systems, to model filtering error systems. Sufficient conditions for the existence of a robust
∞
filter are derived in the form of matrix inequalities (LMIs) under these two frameworks, respectively. Finally, a simulation example is used to testify to the effectiveness of the proposed approach.
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