A lower bound on the sinc function is given. Application for the sequence {b(n)}(n=1)(∞) which related to Carleman inequality is given as well.

Abstract SincNet architecture has shown significant benefits over traditional Convolutional Neural Networks (CNN), especially for speaker recognition applications. comprises parameterized Sinc functions as filters in the first layer followed by convolutional layers. Although is compact nature and offers top-level understanding of features extracted, effect window function used not thoroughly ad...

The sinc method is known as an ecient numerical method for solving ordinary or par-tial dierential equations but the system of dierential equations has not been solved by this method which is the focus of this paper. We have shown that the proposed version of sinc is able to solve sti system while Runge-kutta method can not able to solve. Moreover, Due to the great attention to mathematical mod...

This paper describes PWLFIT+, an extension to the frequency domain of PWLFIT, a new paradigm in time-domain macromodeling for linear multiport systems, based on piecewise-linear (PWL) behavioral representation S-parameters step response. While impulse response each S-parameter is approximated as sum delayed rectangles (rect) functions, its spectrum interpolated corresponding cardinal sine (sinc...