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In this work we apply a bootstrap method to obtain probabilistic forecasts from past single-valued forecasts offered by a Numerical Weather Prediction model. The potential of the proposed method is assessed with real data from four wind farms in Eastern Canada. The methodology can be extended to other existing point forecasting methods.
The recent use of long-term records in electroencephalography is becoming more frequent due to its diagnostic potential and the growth of novel signal processing methods that deal with these types of recordings. In these cases, the considerable volume of data to be managed makes compression necessary to reduce the bit rate for transmission and storage applications. In this paper, a new compression...
Due to the large volume of information generated in an electroencephalographic (EEG) study, compression is needed for storage, processing or transmission for analysis. In this paper we evaluate and compare two lossy compression techniques applied to EEG signals. It compares the performance of compression schemes with decomposition by filter banks or wavelet Packets transformation, seeking the best...
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