A local adaptive algorithm for speech enhancement is presented. The algorithm is based on calculation of the rank-order statistics of an input speech signal over a moving window. The algorithm varies the size and contents of a sliding window signal as well as an estimation function employed for recovering a clean speech signal from a noisy signal. The algorithm improves the quality of a speech ...

The paper considers a set membership joint estimation of variables and parameters in complex dynamic networks based on parametric uncertain models and limited hard measurements. A recursive estimation algorithm with a moving measurement window is derived that is suitable for on-line network monitoring. The window allows stabilising the classic recursive estimation algorithm and significantly im...

The paper considers a set-membership joint estimation of variables and parameters in complex dynamic networks based on parametric uncertain models and limited hard measurements. The recursive estimation algorithm with moving measurement window is derived that is suitable for on line network monitoring. The window allows stabilising the classic recursive estimation algorithm and significantly im...

Detecting moving objects is very important in many application contexts such as people detection, visual surveillance, and so on. The first and fundamental step of all motion detection algorithms is the background modeling. The goal of the methodology here proposed is to create a background model substantially independent from each hypothesis about the training phase, as the presence of moving ...

Detecting moving objects is very important in many application contexts such as people detection, visual surveillance, automatic generation of video effects, and so on. The first and fundamental step of all motion detection algorithms is the background modeling. The goal of the methodology here proposed is to create a background model substantially independent from each hypothesis about the tra...

a r t i c l e i n f o The increasing availability of satellite images derived from multiple sensors creates opportunities for broader spatial and temporal coverage but also methodological challenges. We present a geostatistical inverse modeling (GIM) approach for merging coarse-resolution images with variable resolutions and for super-resolution (i.e., predictions at the sub-pixel level) mappin...

A fundamental assumption made in formulating opticalow algorithms is that motion at any point in an image can be represented as a single pattern component undergoing a simple translation: even complex motion will appear as a uniform displacement when viewed through a su ciently small window. This assumption fails for a number of situations that commonly occur in real world images. For example, ...

It is well established that amblyopes exhibit deficits in processing first-order (luminance-defined) patterns. This is readily manifest by measuring spatiotemporal sensitivity (i.e. the "window of visibility") to moving luminance gratings. However the window of visibility to moving second-order (texture-defined) patterns has not been systematically studied in amblyopia. To address this issue mo...

Many research groups in academia and industry are focusing on the performance improvement of electronic nose (E-nose) systems mainly involving three optimizations, which are sensitive material selection and sensor array optimization, enhanced feature extraction methods and pattern recognition method selection. For a specific application, the feature extraction method is a basic part of these th...

Online (also ’real-time’ or ’sequential’) signal extraction from noisy and outlierinterfered data streams is a basic but challenging goal. Fitting a robust Repeated Median (Siegel, 1982) regression line in a moving time window has turned out to be a promising approach (Davies et al., 2004; Gather et al., 2006; Schettlinger et al., 2006). The level of the regression line at the rightmost window ...