Artefact processing is an important issue in automated analysis of the sleep EEG. Nine artefact types were identified and their frequency of occurrence was analysed in 15 all-night sleep recordings from eight European sleep laboratories. Three artefact detection methods were evaluated with the area-under-ROC-curve (AUC), eight artefact minimisation methods were validated visually. Recommended m...

This paper introduces the application of particle swarm optimization techniques to generalized adaptive nonlinear and reeursive fdter structures. Particle swarm optimization (PSO) is a population based optimization algorithm, similar to the genetic algorithm (GA), that performs a struetored randomized search of an unknown parameter space by manipulating a population of parameter estimates to co...

H 1 optimal estimators guarantee the smallest possible estimation error energy over all possible disturbances of xed energy, and are therefore robust with respect to model uncertainties and lack of statistical information on the exoge-nous signals. We have recently shown that if prediction error is considered, then the celebrated LMS adaptive l-tering algorithm is H 1 optimal. In this paper we ...

A B S T R A C T I/ ' o l ) ~ iiliiil cshia tors giiaraiit,ee the smallest possible es1 iiliiil io11 (~rror c~i~crgy ovcr a11 possilde disturbances of fixed (.ii('i.gy. iRil(1 iirc IlicrcA'orc: r o b u s t wit.11 respect to model uniiiicl I ; ic4 i of slatistical information on the exoge11011s sigliitls. 'We haw recent,ly shown that if prediction ( ' i w i . is cwiisidc~iwl. t . l in i i t,he ce...

In this paper we propose a exible adaptive media streaming mechanism based on wavelet encoded video streams. By using a combination of sender rate adaptation and ltering inside the transmission path, an appropriate tradeo between exibility, eÆciency and security can be achieved. The media adaptation mechanisms are one part of the MASA Quality-of-Service framework, which provides end-to-end QoS ...

This work describes a hybrid adaptive filtering technique, designed to optimize the removal of the electrocardiogram (ECG) from surface electromyography (sEMG) recordings. Using the adaptive noise cancellation technique (ANC), we minimize the error gradient based on combined Time-Frequency filtering enhancements. The validation on artificially prepared signals with a real data basis shows bette...

PURPOSE The combination of quickly rotating C-arm gantry with digital flat panel has enabled the acquisition of three-dimensional data (3D) in the interventional suite. However, image quality is still somewhat limited since the hardware has not been optimized for CT imaging. Adaptive anisotropic filtering has the ability to improve image quality by reducing the noise level and therewith the rad...

A procedure to approximate non-causal adaptive IIR filtering is described. Such structures could be useful, for instance, in the equalization of non-minimum phase communication channels. The procedure is based on backward calculations within blocks of samples and we show that for adaptive filtering the overlap-save method is more suitable than the overlap-add method. Moreover, a temporary freez...

Filtering noise in image sequences is an important preprocessing task in many image processing applications, including but not limited to real-time x-ray image sequences obtained in angiography. The main objective in real-time noise filtering is to improve the quality of the resultant image sequences. Practically affordable approaches are generally suboptimal and deal with the spatial and tempo...