The impact of noise on image will degrade its feature. Suppression or removal of noise in 2D images would be very worth in medical image processing, satellite image processing and various other domains. Switching median filters outperform standard median filters in the removal of impulse noise due to their capability of filtering candidate noisy pixels and leaving other pixels intact. The BDND ...

Compression measures used in inductive learners, such as measures based on the MDL (Minimum Description Length) principle, provide a theoretically justiied basis for grading candidate hypotheses. Compression-based induction is appropriate also for handling of noisy data. This paper shows that a simple compression measure can be used to detect noisy examples. A technique is proposed in which noi...

Elimination of additive noise from a speech signal is a fundamental problem in audio signal processing. In this paper we restrict our considerations to the case where only a single microphone recording of the noisy signal is available. The algorithms which we investigate proceed in two steps: First, the noise power spectrum is estimated. A method based on temporal quantiles in the power spectra...

We demonstrate an analytical method for calculating the phase sensitivity of a class of oscillators whose phase does not affect the time evolution of the other dynamic variables. We show that such oscillators possess the possibility for complete phase noise elimination. We apply the method to a feedback oscillator which employs a high Q weakly nonlinear resonator and provide explicit parameter ...

on the performance of the Web information management system. Many researchers have proposed document structure based noise data elimination methods. In this paper, we propose a different approach that uses a redundant information elimination approach in the Web documents from the same URL path. We propose a redundant word/phrase filtering method for single or multiple tokenizations. We conducte...

A new method for the elimination of uninformative variables in multivariate data sets is proposed. To achieve this, artificial (noise) variables are added and a closed form of the PLS or PCR model is obtained for the data set containing the experimental and the artificial variables. The experimental variables that do not have more importance than the artificial variables, as judged from a crite...