Main idea of this study was to increase efficiency of the EASI ECG method introduced by Dover in 1988 using various regression techniques. EASI was proven to have high correlation with standard 12 lead ECG. Apart from...
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Main idea of this study was to increase efficiency of the EASI ECG method introduced by Dover in 1988 using various regression techniques. EASI was proven to have high correlation with standard 12 lead ECG. Apart from that it is less susceptible to artefacts, increase mobility of patients and is easier to use because of smaller number of electrodes. Multilayer Perceptron (Artificial Neural Network), Support Vector Machines, Linear Regression, Pace Regression and Least Median of Squares Regression methods were used to improve the quality of the 12-lead electrocardiogram derived from four (EASI) electrodes.
Generalized adaptive comb filters can be used to identify/track parameters of quasi-periodically varying systems. In a special, signal case they reduce down to adaptive comb filters, applied to elimination or extracti...
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ISBN:
(纸本)9781467310680
Generalized adaptive comb filters can be used to identify/track parameters of quasi-periodically varying systems. In a special, signal case they reduce down to adaptive comb filters, applied to elimination or extraction of nonstationary multi-harmonic signals buried in noise. We propose a new algorithm which combines, in an adaptive way, results yielded by several, simultaneously working generalized adaptive comb filters. Due to its highly parallel estimation structure, the new algorithm is more accurate and more robust than the currently available algorithms.
This paper proposes a discrete-time predictive controller for variable speed horizontal wind turbines. The control strategy is implemented using discrete-time model predictive control (MPC). MPC provides an integrated...
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This note studies the problem of bounds for the Lyapunov exponent of a parameter perturbed system when the perturbation has finite average value. Such a bound is presented in terms of Bohl exponent of the unperturbed ...
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This note studies the problem of bounds for the Lyapunov exponent of a parameter perturbed system when the perturbation has finite average value. Such a bound is presented in terms of Bohl exponent of the unperturbed system. In particular, it has been shown that the Lyapunov exponent of perturbed system is not greater than the Bohl exponent of the unperturbed system if the average value of perturbations is zero. The obtained result is illustrated by a numerical example.
Community can be generally defined as a sub graph where nodes are more densely connected with each other than with the rest of a network. Such definition makes application of density-based clustering methods to commun...
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ISBN:
(纸本)9781467324977
Community can be generally defined as a sub graph where nodes are more densely connected with each other than with the rest of a network. Such definition makes application of density-based clustering methods to community identification justified and natural. Moreover, density-based methods have many extensions enabling their application to complex data analysis. Therefore, the analysis of the characteristics of density-based clustering methods in application to community identification is important and valuable. The article presents and evaluates new similarity measures that can be utilised by the approaches to density-based community identification. Several experiments on real life and generated networks are performed to show and explain the differences between these measures and to compare them with other methods. The results show that the new measures improve the quality of analysis and that density-based clustering algorithms can be valuable community identification methods.
Since 2005 assessment in many core engineering courses at Silesian University of Technology, Gliwice, Poland, is performed in the electronic manner. Every year the method is modified, based on teachers' experience...
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Since 2005 assessment in many core engineering courses at Silesian University of Technology, Gliwice, Poland, is performed in the electronic manner. Every year the method is modified, based on teachers' experience and students' feedback [1]. Recently, the approach to e-assessment has been thoroughly revised, based on Bloom's taxonomy of students outcomes and Kolb's learning cycle [2,3]. In particular, the authors focused on the proper balance and order of the questions, corresponding to the lower level (knowledge, understanding) and the medium level (application, analysis) of Bloom's taxonomy. A new category of assessment, called “formative towards summative” (FTS) has been designed and introduced in the 2011/2012 autumn semester.
This paper presents a new approach to elimination of impulsive disturbances from archive speech signals. The proposed sparse autoregressive (SAR) signal representation is given in a factorized form - the model is a ca...
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ISBN:
(纸本)9781467310680
This paper presents a new approach to elimination of impulsive disturbances from archive speech signals. The proposed sparse autoregressive (SAR) signal representation is given in a factorized form - the model is a cascade of the so-called formant filter and pitch filter. Such a technique has been widely used in code-excited linear prediction (CELP) systems, as it guarantees model stability. After detection of noise pulses using linear prediction, the factorized model is converted into a generic sparse form in order to perform a projection-based signal interpolation. It is shown that the proposed algorithm is able to deal favorably with speech signals with strong glottal activity, which is a serious problem for algorithms based on the classical AR modeling.
Self Optimizing Narrowband Interference Canceller (SONIC) is a novel active disturbance rejection algorithm which combines the gain-freezing technique and automatic adjustment of a complex-valued estimation gain. In t...
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ISBN:
(纸本)9781467320658
Self Optimizing Narrowband Interference Canceller (SONIC) is a novel active disturbance rejection algorithm which combines the gain-freezing technique and automatic adjustment of a complex-valued estimation gain. In the paper a new version of the self-adjustment mechanism, based on the extremum-seeking technique, is proposed. To preserve the compactness of the original controller, the adaptation algorithm is designed to operate in complex domain. The resulting adaptive controller is much more robust than its previous variant.
The commonly used approach to avoid the effects of a critical situation in an industrial plant is a limited strategy. The paper describes the implementation of a defect classifier on a Waste Water Treatment Plant as a...
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Multimedia is one of the most important aspects of the information era. With the advent of the multimedia age and the spread of Internet, video storage and streaming has been gaining a lot of popularity. When transmit...
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Multimedia is one of the most important aspects of the information era. With the advent of the multimedia age and the spread of Internet, video storage and streaming has been gaining a lot of popularity. When transmitting compressed video over a data network channel errors affect the decoding process. Video transmission puts constraints on data rate, computational complexity and delay. Unreliable channels add more challenges to this task as compressed video is extremely vulnerable to transmission errors. Problems arising from imperfect transmission of block coded video frame sequence result in lost blocks. This paper presents and implements a set of decoder side spatio-temporal algorithms that aim to enhance the speed and quality of the error concealment process. The results obtained by these algorithms are much faster and achieve better performance compared to the existing algorithms, which make them more suitable for real-time applications.
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