Segmentation, feature extraction and classification of signal components belong to very common problems in various engineering, economical and biomedical applications. The paper is devoted to the use of discrete wavel...
详细信息
Segmentation, feature extraction and classification of signal components belong to very common problems in various engineering, economical and biomedical applications. The paper is devoted to the use of discrete wavelet transform (DWT) both for signal preprocessing and signal segments feature extraction as an alternative to the commonly used discrete Fourier transform (DFT). Feature vectors belonging to separate signal segments are then classified by a competitive neural network as one of methods of cluster analysis and processing. The paper provides a comparison of classification results using different methods of feature extraction most appropriate for EEG signal components detection. Problems of multichannel segmentation are mentioned in this connection as well.
Observations of the long-term geoelectric potential (LTGP) difference are presented in this paper. The data have been collected during a three-year (2004-2006) investigating period. Moreover, this paper constitutes a ...
This paper deals with an analysis of applicability, capabilities, benefits and pitfalls of using a virtual potential field approach to autonomously planning trajectories in non-communicating autonomous underwater vehi...
详细信息
The work presented in this paper deals with the process of transfer function identification by using self-oscillation method (autotuning identification method). The algorithm is given in a general matrix form and some...
详细信息
Current research work on the development of a nanohandling cell in a scanning electron microscope (SEM) is presented. An experimental setup is shown, in which two microrobots operate in the vacuum chamber of an SEM. I...
详细信息
Bio-modeling has important role in virtual reality in telemedicine providing base for simulations and decisions. Virtual reality is based on sequences of volumetric images whose motion is captured in time. These data ...
详细信息
ISBN:
(纸本)9789973879141
Bio-modeling has important role in virtual reality in telemedicine providing base for simulations and decisions. Virtual reality is based on sequences of volumetric images whose motion is captured in time. These data sets are typically very large in size and demand a great amount of resources for storage and transmission. Therefore it is necessary to compress this data both fast and efficiently. We will propose combination of lossless and lossy compression models to obtain toset demands.
We propose a modification of the existing algorithm for computing the one-step robust sets for the discrete-time piecewise affine (DTPWA) systems subject to additive polytope-bounded uncertainties. In the old algorith...
详细信息
This article gives a capsule view of research on rough set theory and applications ongoing at universities and laboratories in China. Included in this capsule view of rough set research is a brief description of the f...
详细信息
This paper elaborates the present stage predictable direction of future development of Sine Wave Calculator (SWC), a simple method for signal analysis in time domain that provides accuracy comparable to the best class...
详细信息
This paper elaborates the present stage predictable direction of future development of Sine Wave Calculator (SWC), a simple method for signal analysis in time domain that provides accuracy comparable to the best classical methods (relative errors about few times 10-6). The main SWC advantages are extreme simplicity, possibility of selection of samples and straightforward calculations, which makes it preferable solution for quick implementation. The main shortage is still unknown mathematical analysis of errors, which are probably unequal for different signal parameters.
We propose a modification of the existing algorithm for computing the one-step robust sets for the discrete-time piecewise affine (DTPWA) systems subject to additive polytope-bounded uncertainties. In the old algorith...
详细信息
We propose a modification of the existing algorithm for computing the one-step robust sets for the discrete-time piecewise affine (DTPWA) systems subject to additive polytope-bounded uncertainties. In the old algorithm the Minkowski set difference between a union of polytopes (the so-called P-collection) and a polytope needs to be computed, which in turn calls twice for the computation of the set difference between a polytope and a P-collection. These set operations become computationally very demanding with the increasing number of polytopes in the P-collection and thus limit the practical applicability of the algorithm. In this paper we propose a more efficient procedure that avoids explicit evaluation of the Minkowski set difference. Our algorithm, on average, significantly reduces the complexity of the computation. We illustrate this on several examples of DTPWA systems for which the maximal robust positively invariant set is computed.
暂无评论