We propose a simultaneous spatio-temporal filter optimization algorithm for the single trial ElectroEncephaloGraphy (EEG) classification problem. The algorithm is a generalization of the Common Spatial Pattern (CSP) algorithm, which incorporates non-homogeneous weighting of the cross-spectrum matrices. We alternately update the spectral weighting coefficients and the spatial projection. The cro...

In smart antenna system (SAS), the most compelling research work is the space-division multiple-access (SDMA) which includes uplink source separation and downlink selective transmission. In this paper, we propose a subspace-based spatial signature estimation algorithm of cochannel multiuser signals by jointly exploiting cumulant and cyclostationarity, and apply it to multiuser signal copy in up...

A spatial time series dataset is a collection of time series, each referencing a location in a common spatial framework. Correlation analysis is often used to identify pairs of potentially interacting elements from the cross product of two spatial time series datasets. However, the computational cost of correlation analysis is very high when the dimension of the time series and the number of lo...

This contribution presents a variation of the Wiener filter criterion, i.e. minimizing the mean squared error, by combining it with the main principle of normalized convolution, i.e. the introduction of prior information in the filter process via the certainty map. Thus, we are able to optimize a filter according to the signal and noise characteristics while preserving edges in images. In spite...

Median filtering is a commonly used technique in image processing. The main problem of the median filter is its high computational cost (for sorting N pixels, the temporal complexity is O(N·log N), even with the most efficient sorting algorithms). When the median filter must be carried out in real time, the software implementation in general-purpose processors does not usually give good results...

The use of a spatial index followed by an exact geometry check (a filter/refine strategy) is commonly applied in spatial database management systems. Its efficiency in selecting a small subset of geographic features from a large feature collection is undebatable. But there is a problem with the strategy: For a pure overlap test in the filter phase, the filter/refine strategy gets less optimal a...

Abstract This report proposes a design method of a digital filter to detect running water region in video signal. As a result of applying this filter, the water level of a river is automatically detected as a boundary between the land region and the water region. Conventional approaches have used the edge detector "vertically" to extract a horizontal line as running water surface. The frame "su...

Color image difference metrics are of great importance in the field of color image reproduction. In this study, we introduce an adaptive bilateral filter for predicting color image difference. This filter is simple, employing two Gaussian smoothing filters in different domains, which avoids the loss of edge information when smoothing the image. However, the challenge is to select appropriate pa...