Corners are rich in high frequency components. A low-pass filter suppresses corners and results in a smooth curve. Therefore, corner points have a larger amount of shift than other points and can easily be detected by a low-pass filter. Experiments suggest that a moving average can do this job suitably with a low computational load and good locality in spatial domain. A moving average with a sm...

Smoothing or filtering of data is first preprocessing step for noise suppression in many applications involving data analysis. Moving average is the most popular method of smoothing the data, generalization of this led to the development of Savitzky-Golay filter. Many window smoothing methods were developed by convolving the data with different window functions for different applications; most ...

Vehicular ad hoc networks (VANets) are special cases of mobile ad hoc networks (MANets) in which the mobility pattern is very different. Actually, the topology of the network in VANets changes more often and the variance of speeds is high. Such characteristics lead to fairness problem in VANets, considered in this paper. In fact, vehicles with different speeds have their different limited time ...

Conventional Orthogonal Frequency–Division Multiplexing (OFDM) receivers disregard oversized guard intervals. An (adaptive) Nyquist–shaped receive window could exploit signal samples in its unconsumed portion to improve demodulation. The OFDM transmitter is not modified, subcarrier orthogonality is preserved, and the DFT size may be retained. In this paper, we optimize the window shape by consi...

With new developments in positioning systems and electronics, various researches for moving objects have progressed [3,5,6]. Our paper is related to selection queries considering future positions of moving objects, which are referred to as future queries [5]. An example of the future query is as follows: “which airplanes will be inside a query window 20 minutes from now?” Airplanes correspond t...