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    Wyświetlanie 1-7 z 7
    Tytuł:
    A new form of Gabor Wigner Transform by adaptive thresholding in Gabor Transform and Wigner Distribution and the power of signal synthesis techniques to enhance the strengths of GWT
    Autorzy:
    Ajab, M.
    Taj, I. A.
    Shafi, I.
    Stankovic, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/220882.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Gabor transform
    Wigner Distribution
    Gabor Wigner Transform
    signal synthesis
    Opis:
    In this paper, a modified form of the Gabor Wigner Transform (GWT) has been proposed. It is based on adaptive thresholding in the Gabor Transform (GT) and Wigner Distribution (WD). The modified GWT combines the advantages of both GT and WD and proves itself as a powerful tool for analyzing multi-component signals. Performance analyses of the proposed distribution are tested on the examples, show high resolution and crossterms suppression. To exploit the strengths of GWT, the signal synthesis technique is used to extract amplitude varying auto-components of a multi-component signal. The proposed technique improves the readability of GWT and proves advantages of combined effects of these signal processing techniques.
    Źródło:
    Metrology and Measurement Systems; 2013, 20, 1; 99-106
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparative analysis of variants of Gabor-Wigner Transform for crossterm reduction
    Autorzy:
    Ajab, M.
    Taj, I. A.
    Khan, N. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/221743.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Wigner Distribution
    Gabor transform
    Gabor Wigner Transform
    fractional Fourier transform
    Opis:
    Gabor Wigner Transform (GWT) is a composition of two time-frequency planes (Gabor Transform (GT) and Wigner Distribution (WD)), and hence GWT takes the advantages of both transforms (high resolution of WD and cross-terms free GT). In multi-component signal analysis where GWT fails to extract auto-components, the marriage of signal processing and image processing techniques proved their potential to extract autocomponents. The proposed algorithm maintained the resolution of auto-components. This work also shows that the Fractional Fourier Transform (FRFT) domain is a powerful tool for signal analysis. Performance analysis of modified fractional GWT reveals that it provides a solution of cross-terms of WD and blurring of GT.
    Źródło:
    Metrology and Measurement Systems; 2012, 19, 3; 499-508
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wigner transform approach to dynamic-variable partially coherent laser beam characterization
    Autorzy:
    Jabczyński, J.
    Gontar, P.
    Gorajek, Ł.
    Powiązania:
    https://bibliotekanauki.pl/articles/202109.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    laser beams
    partial coherence
    high-power continuous-wave lasers
    Wigner transform
    aberrations
    Opis:
    1) Background: the modeling, characterization, transformation and propagation of high-power CW laser beams in optical (including fiberoptic) trains and in the atmosphere have become hot topics in laser science and engineering in the past few years. Single-mode output is mandatory for high-power CW laser applications in the military field. Moreover, an unstationary, dynamic operation regime is typical. Recognized devices and procedures for laser-beam diagnostics could not be directly applied because of dynamic behavior and untypical non-Gaussian profiles. 2) Methods: the Wigner transform approach was proposed to characterize dynamically variable high-power CW laser beams with significant deterministic aberrations. Wavefront-sensing measurements by means of the Shack-Hartmann method and decomposition into an orthogonal Zernike basis were applied. 3) Results: deterministic aberration as a result of unstationary thermal-optic effects depending on the averaged power of the laser output was found. Beam quality determined via the Wigner approach was changed in the same way as the measurements of the beam diameter in the far field. 4) Conclusions: such an aberration component seems to be the main factor causing degradation in beam quality and in brightness of high-power CW laser beams.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 1; 141-146
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of genetic algorithms in the task of choosing inputs for probabilistic neural network classifier of faults of gear-tooth
    Autorzy:
    Czech, P.
    Mikulski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/393327.pdf
    Data publikacji:
    2015
    Wydawca:
    Polskie Stowarzyszenie Telematyki Transportu
    Tematy:
    gearbox
    diagnostics
    neural networks
    Wigner-Ville transform
    genetic algorithm
    skrzynia biegów
    diagnostyka
    sieci neuronowe
    transformata Wignera-Ville'a
    algorytm genetyczny
    Opis:
    In this article are presented results of trials of building an application based on probabilistic neural network, used to diagnose damages to the gear wheel teeth in the form of cracks at the base of the tooth. To determine the proper network learning process is necessary to get from the tested object numerous set of input data. Conducted researches are based on data obtained from the identified model of gear working in the drive system, which made it possible to acquire the necessary amount of data. In experiments was tested the usefulness of different sets of descriptors of teeth damages, constructed on the basis of vibratory signals, processed using the Wigner-Ville transform. Often the problem, which makes the proper learning of the neural classifiers impossible is the size of the network structure. Therefore, in further studies was examined the usefulness of genetic algorithms which task is selecting an input data for the artificial neural networks of PNN type.
    Źródło:
    Archives of Transport System Telematics; 2015, 8, 3; 15-19
    1899-8208
    Pojawia się w:
    Archives of Transport System Telematics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Joint time-frequency and wavelet analysis - an introduction
    Autorzy:
    Majkowski, A.
    Kołodziej, M.
    Rak, R. J.
    Powiązania:
    https://bibliotekanauki.pl/articles/220841.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    frequency analysis
    time-frequency analysis
    short-time Fourier transform
    Gabor transform
    Wigner-Ville transform
    Cone-Shaped Transform
    wavelet analysis
    time-scale analysis
    wavelet decomposition
    filter banks
    wavelet packets
    Opis:
    A traditional frequency analysis is not appropriate for observation of properties of non-stationary signals. This stems from the fact that the time resolution is not defined in the Fourier spectrum. Thus, there is a need for methods implementing joint time-frequency analysis (t/f) algorithms. Practical aspects of some representative methods of time-frequency analysis, including Short Time Fourier Transform, Gabor Transform, Wigner-Ville Transform and Cone-Shaped Transform are described in this paper. Unfortunately, there is no correlation between the width of the time-frequency window and its frequency content in the t/f analysis. This property is not valid in the case of a wavelet transform. A wavelet is a wave-like oscillation, which forms its own “wavelet window”. Compression of the wavelet narrows the window, and vice versa. Individual wavelet functions are well localized in time and simultaneously in scale (the equivalent of frequency). The wavelet analysis owes its effectiveness to the pyramid algorithm described by Mallat, which enables fast decomposition of a signal into wavelet components.
    Źródło:
    Metrology and Measurement Systems; 2014, 21, 4; 741-758
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Infrared devices and techniques (revision)
    Autorzy:
    Rogalski, A.
    Chrzanowski, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/221154.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    frequency analysis
    time-frequency analysis
    short-time Fourier transform
    Gabor transform
    Wigner-Ville transform
    Cone-Shaped Transform
    wavelet analysis
    time-scale analysis
    wavelet decomposition
    filter banks
    wavelet packets
    Opis:
    The main objective of this paper is to produce an applications-oriented review covering infrared techniques and devices. At the beginning infrared systems fundamentals are presented with emphasis on thermal emission, scene radiation and contrast, cooling techniques, and optics. Special attention is focused on night vision and thermal imaging concepts. Next section concentrates shortly on selected infrared systems and is arranged in order to increase complexity; from image intensifier systems, thermal imaging systems, to space-based systems. In this section are also described active and passive smart weapon seekers. Finally, other important infrared techniques and devices are shortly described, among them being: non-contact thermometers, radiometers, LIDAR, and infrared gas sensors.
    Źródło:
    Metrology and Measurement Systems; 2014, 21, 4; 565-618
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of lung auscultatory phenomena using the Wigner-Ville Distribution
    Autorzy:
    Maciuk, M.
    Kuniszyk-Jóźkowiak, W.
    Doboszynska, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/106244.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
    Tematy:
    Wigner-Ville Distribution
    WVD
    digital analysis
    auscultatory sound
    computer aided diagnosis
    Short-Time Fourier Transform
    STFT
    Smoothed Wigner-Ville Distribution
    SWVD
    Opis:
    In this paper the authors will try to discuss the applicability of Wigner-Ville Distribution for the digital analysis of auscultatory sounds. First of all, thte issues related to computer aided diagnosis are presented. Next, the methodology of research is shown and subsequently, the types of sounds are described. Another element of this work is the presentation of issues related to the digital signal processing including the Short-Time Fourier Transform(STFT), Wigner-Ville Distribution (WVD), and its variation - Smoothed Wigner-Ville Distribution (SWVD). This paper summarizes the results obtained using STFT and SWVD, showing SWVD more useful to detect the type of auscultatory sounds.
    Źródło:
    Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2012, 12, 1; 7-16
    1732-1360
    2083-3628
    Pojawia się w:
    Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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