annihilation or reduction of each kind of noise blended in correct data signals is a field that has attracted many researchers. it is a fact that fuzzy theory presents full capability in this field. fuzzy filters are often strong in smoothing corrupted signals, whereas they have simple structures. in this paper, a new powerful yet simple fuzzy procedure is introduced for sharpness reduction in ...

This paper presents a simple, low-cost, and novel technique for measuring the temporal pulse shape of a nanosecond laser pulse accurately and consistently. The measurement configuration consists of a focusing lens, a tapered rod, and a digital noise filter. Using this setup, the pulsewidth of a nitrogen laser has been determined experimentally. Compared with an unaided measurement configuration...

Article history: Received 23 June 2015 Accepted 25 August 2015 Available online 2 September 2015

Lipschitz functions are interesting, but can be very rough (these can have many kinks). In many situations the functions can be much smoother. This is how you would model the temperature inside a museum room for example. Often we don’t know how smooth the function might be, so an interesting question is if we can adapt to the unknown smoothness. In this lecture we will use the Maximum Complexit...

This paper investigates the interaction between the economics of production and imperfections in the production process. SpeciÞcally, this paper is the Þrst to devise a model in an attempt to provide managers with guidelines to choose the appropriate production run times to buffer against both the production of defective items and stoppages occurring due to machine breakdowns. In addition to pr...

Current multi-view factorization methods make assumptions that are not acceptable for many kinds of data, and in particular, for graphical data with hierarchical structure. At the same time, current hierarchical methods work only in the single-view setting. We generalize the Treelet Transform to the Multi-View Treelet Transform (MVTT) to allow for the capture of hierarchical structure when mult...