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    Wyświetlanie 1-6 z 6
    Tytuł:
    Identification of a Nonlinear Association between Components of the Electrohysterographical Signal
    Autorzy:
    Radomski, D.
    Małkiewicz, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/226806.pdf
    Data publikacji:
    2010
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    bomeasurements
    electrohysterography
    nonlinear signal analysis
    h2 index
    nonlinear association
    Opis:
    Electrohysterography is a method for measuring of bioelectrical potentials generated by a contracting uterus. It is used for monitoring of uterine activities mainly during a pregnancy and for prediction of an upcoming pretermlabour. However, there is still unknown the best method of EHG analysis which gives clinically useful information about a uterine activity. To achieve this goal we propose to use information about nonlinear associations between EHG signals registered from an uterine fundus and an uterine cervix. The h² index was applied to identify these relationships. The obtained results reveal that there exists a nonlinear correlation between biopotentials generated from two parts of a pregnant uterus. Moreover, this correlation seems to be higher as a labour is upcoming. It suggests a possibility of using the h² index for prediction of an upcoming labour based on EHG signals.
    Źródło:
    International Journal of Electronics and Telecommunications; 2010, 56, 3; 287-290
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Multistage Procedure of Mobile Vehicle Acoustic Identification for Single-Sensor Embedded Device
    Autorzy:
    Astapov, S.
    Riid, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/227146.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    vehicle identification
    acoustic signal analysis
    feature extraction
    classification
    fuzzy logic
    Opis:
    Mobile vehicle identification has a wide application field for both civilian and military uses. Vehicle identification may be achieved by incorporating single or multiple sensor solutions and through data fusion. This paper considers a single-sensor multistage hierarchical algorithm of acoustic signal analysis and pattern recognition for the identification of mobile vehicles in an open environment. The algorithm applies several standalone techniques to enable complex decision-making during event identification. Computationally inexpensive procedures are specifically chosen in order to provide real-time operation capability. The algorithm is tested on pre-recorded audio signals of civilian vehicles passing the measurement point and shows promising classification accuracy. Implementation on a specific embedded device is also presented and the capability of real-time operation on this device is demonstrated.
    Źródło:
    International Journal of Electronics and Telecommunications; 2013, 59, 2; 151-160
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fuzzy Extreme Analysis in Time- and Frequency Domains
    Autorzy:
    Pogribny, W.
    Drzycimski, M.
    Drzycimski, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/227196.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    extreme analysis
    envelope extraction
    signal compression
    Opis:
    Very often, we are interested in the shape of a signal or an envelope of the signal or its spectrum. Classical extreme analysis (CEA) produces too many minor details of a signal shape. This fact, in the context of telecommunications, does not allow us to ensure a significant coefficient of a signal compression. Another option for signal analysis, based on the Delta Modulation (DM), lacks sufficient dynamic range at a relatively low sampling rate. One more "true envelope" manner is based on the cepstral analysis, and requires too many operations. Other methods are used for the definition of a signal envelope. The discrete Hilbert transform (DHT) is only expedient to capture an envelope of a narrowband signal and, moreover, requires too many mathematical operations. Other manners based on decimation, as well as the use of a signal rectifying followed by low-pass filtering do not always ensure sufficient accuracy and signal compression coefficient. Fuzzy EA (FEA) is free from similar drawbacks. Its first and second differences are compared with no zero limits, and that allows us to take into consideration only major details of the signal or spectrum shape. Consequently we obtain both an envelope of wideband signal, and a signal significant compression in real time. This article focuses on FEA features connected with the aforementioned tasks. Apart from the FEA algorithm, the article outlines some methods of signal reconstruction after FEA in both domains, and the structure of the FEA specializedprocessor. FEA application in both domains is demonstrated through examples.
    Źródło:
    International Journal of Electronics and Telecommunications; 2011, 57, 4; 511-518
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    PCA Based Components Selection Criteria for Computationally Efficient Physical Layer Key Generation (PLKG) System
    Autorzy:
    Sarsodia, Tapesh
    Bhatt, Uma Rathore
    Upadhyay, Raksha
    Bhat, Vijay
    Powiązania:
    https://bibliotekanauki.pl/articles/27311925.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    wireless networks
    received signal strength
    principal component analysis
    physical layer key generation
    Mean
    Histfit
    Opis:
    Data security is one of the prime concerns in wireless networks. PLKG has been emerging as an attractive alternative to traditional cryptographic techniques. PLKG is more computationally efficient than cryptography. Moreover, PLKG using Principal component analysis (PCA) as pre-processing may further save computations. This paper proposes three mechanisms to select components of PCA which are based on Information content, Mean and Histfit. Bit Disagreement Rate (BDR) is compared for each mechanism. Histfit based method is found to be best. Since only two components are supposed to be processed for key generation, it is computationally efficient/ power efficient too.
    Źródło:
    International Journal of Electronics and Telecommunications; 2023, 69, 2; 361--369
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Impulse Noise Suppression Based on Power Iterative ICA in Power Line Communication
    Autorzy:
    Zhang, Wei
    Luo, Zhongqiang
    Xiong, Xingzhong
    Powiązania:
    https://bibliotekanauki.pl/articles/226439.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    power line communication(PLC)
    orthogonal frequency division multiplexing(OFDM) signal
    independent component analysis(ICA)
    impulse noise
    Opis:
    To overcome the detrimental influence of impulse noise in power line communication and the trap of scarce prior information in traditional noise suppression schemes , a power iteration based fast independent component analysis (PowerICA) based noise suppression scheme is designed in this paper. Firstly, the pseudo-observation signal is constructed by weighted processing so that single-channel blind separation model is transformed into the multi-channel observed model. Then the proposed blind separation algorithm is used to separate noise and source signals. Finally, the effectiveness of the proposed algorithm is verified by experiment simulation. Experiment results show that the proposed algorithm has better separation effect, more stable separation and less implementation time than that of FastICA algorithm, which also improves the real-time performance of communication signal processing.
    Źródło:
    International Journal of Electronics and Telecommunications; 2019, 65, 4; 651-656
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Determination of Input Parameters of the Neural Network Model, Intended for Phoneme Recognition of a Voice Signal in the Systems of Distance Learning
    Autorzy:
    Akhmetov, B.
    Tereykovsky, I.
    Doszhanova, A.
    Tereykovskaya, L.
    Powiązania:
    https://bibliotekanauki.pl/articles/226378.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    neural networks
    phonemes
    recognition of a voice signal
    system of distance learning
    mel-cepstral coefficients
    spectral analysis
    Opis:
    The article is devoted to the problem of voice signals recognition means introduction in the system of distance learning. The results of the conducted research determine the prospects of neural network means of phoneme recognition. It is also shown that the main difficulties of creation of the neural network model, intended for recognition of phonemes in the system of distance learning, are connected with the uncertain duration of a phoneme-like element. Due to this reason for recognition of phonemes, it is impossible to use the most effective type of neural network model on the basis of a multilayered perceptron, at which the number of input parameters is a fixed value. To mitigate this shortcoming, the procedure, allowing to transform the non-stationary digitized voice signal to the fixed quantity of mel-cepstral coefficients, which are the basis for calculation of input parameters of the neural network model, is developed. In contrast to the known ones, the possibility of linear scaling of phoneme-like elements is available in the procedure. The number of computer experiments confirmed expediency of the fact that the use of the offered coding procedure of input parameters provides the acceptable accuracy of neural network recognition of phonemes under near-natural conditions of the distance learning system. Moreover, the prospects of further research in the field of development of neural network means of phoneme recognition of a voice signal in the system of distance learning is connected with an increase in admissible noise level. Besides, the adaptation of the offered procedure to various natural languages, as well as to other applied tasks, for instance, a problem of biometric authentication in the banking sector, is also of great interest.
    Źródło:
    International Journal of Electronics and Telecommunications; 2018, 64, 4; 425-432
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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