For a number of computational purposes, including visualization, smooth surfaces are approximated by polyhedral surfaces. An inherent problem of these approximation algorithms is that the resulting polyhedral surfaces appear faceted. A signal processing approach to smoothing polyhedral surfaces was recently introduced [10, 11]. Within this framework surface smoothing corresponds to low-pass fil...

The Savitzky–Golay (SG) filter design problem is posed as the minimum norm solution of an underdetermined equation system. A unified SG filter design framework encompassing several important applications such as smoothing, differentiation, integration and fractional delay is developed. In addition to the generality and flexibility of the framework, an efficient SG filter implementation structur...

Three wavelet-based spectral smoothing techniques are presented in this paper as a pre-processing stage for headrelated transfer function (HRTF) filter design. These wavelet-based methods include wavelet denoising, wavelet approximation, and redundant wavelet transform. These methods are used with time-domain parametric filter design methods to reduce the order of the IIR filters which is usefu...

The Hatch filter is a code-smoothing technique that uses the variation of the carrier phase. It can effectively reduce the noise of a pseudo-range with a very simple filter construction, but it occasionally causes an ionosphere-induced error for low-lying satellites. Herein, we propose an optimal single-frequency (SF) divergence-free Hatch filter that uses a satellite-based augmentation system ...

The analysis of eye-movement (EM) signals poses problems for the designer of smoothing filters since many of the interesting types of EMs are bimodal. For example, optokinetic and/or vestibular stimulation results in an EM pattern called nystagmus consisting of alternating fast- and slow-phase components. Also, saccadic (refixation) EMs do not occur continuously, but are interspersed with perio...

The project is aimed at comparing performance of filters for pulse noise removal in images. 22 filters ([1-18]) were implemented on a Matlab platform and tested in terms of: False alarms errors Missing errors Estimation errors due to false alarms and missing Visual quality The comparison results are presented in form of tables in which the filters are sorted in descending order of the quality. ...