Temat: sygnał Dopplera - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Azimuth ambiguity suppression in SAR images using Doppler-sensitive signals
Autorzy:: Leśnik, Cz.
Serafin, P.
Kawalec, A.
Powiązania:: https://bibliotekanauki.pl/articles/200612.pdf
Data publikacji:: 2015
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: Synthetic Aperture Radar (SAR)
SAR
azimuth ambiguity
Doppler-sensitive signals
dwuznaczność azymutu
sygnał Dopplera
Opis:: In the article the problem of the azimuth ambiguity in synthetic aperture radar (SAR) images and its genesis are presented. A method of suppressing the ambiguities by utilization of Doppler-sensitive signals is proposed, and the necessary modifications to the SAR synthesis algorithm are discussed. The SAR system parameters required for an optimal performance of the method are discussed and simulation results are presented.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2015, 63, 1; 221-227
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Analysis of Doppler tomography in circular geometry as a novel method of imaging tissue cross-sections in vivo
Autorzy:: Świetlik, Tomasz
Opieliński, Krzysztof J.
Powiązania:: https://bibliotekanauki.pl/articles/128200.pdf
Data publikacji:: 2019
Wydawca:: Politechnika Poznańska. Instytut Mechaniki Stosowanej
Tematy:: Doppler tomography
Doppler signal
continuous wave ultrasonic tomography
image reconstruction
tomografia dopplerowska
sygnał Dopplera
ultradźwiękowa tomografia fali ciągłej
rekonstrukcja obrazów
Opis:: Currently, methods such as conventional ultrasound B-mode scanning (US), computerized X-ray tomography (CT), magnetic resonance imaging (MRI), standard X-ray diagnostics, radioisotope imaging and thermography are used to visualize the internal structure of tissue in vivo and to diagnose the patient. Doppler tomography (DT) is an innovative method of reconstructing the image of the tissue section using ultrasonic waves and Doppler effect. In contrast to the currently applied solutions (US), this method uses a continuous wave, which, in theory, allows one to operate with higher energy and to detect smaller inclusions within the examined tissue. This study focuses on the analysis of DT simulation in circular geometry, where a two-transducer ultrasonic probe circulating around the tested object is used to measure the useful signal. In this paper, the influence on the tested object’s cross-section imaging quality of both the simulated Doppler signal’s registration parameters, and the calculation algorithm’s parameters, were analyzed.
Źródło:: Vibrations in Physical Systems; 2019, 30, 1; 1-8
0860-6897
Pojawia się w:: Vibrations in Physical Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Automated detection of fetal movements in Doppler ultrasound signals versus maternal perception
Autorzy:: Wróbel, J.
Kupka, T.
Horoba, K.
Matonia, A.
Roj, D.
Jeżewski, J.
Powiązania:: https://bibliotekanauki.pl/articles/333732.pdf
Data publikacji:: 2014
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: fetal movement activity
Doppler ultrasound signal
fetal heart rate
aktywność ruchowa płodu
sygnał USG Dopplera
tętno płodu
Opis:: Analysis of movement activity is important since it enables detection of nonreactive fetal heart rate recordings. The aim of the study was to develop an algorithm for automated detection of the fetal movement activity (actogram), based on analysis of the Doppler ultrasound signal, and to evaluate a reliability of the actogram as a source of information about the fetal movements. Bandpass filtering (20-80 Hz) was used to separate the actogram signal describing the fetal movement activity. Simultaneously there were recorded the markers of fetal movements perceived by mother, being the reference information. For the determination of the binary actogram, the authors proposed an algorithm in which the classification threshold was estimated at the beginning of each recording and was adaptively modified during its duration. The algorithm ensured detection of up to 89% of movement episodes corresponding to movements perceived by mother. At the same time almost as high number of episodes not related to the reference information was recognized. Obtained results revealed that the automated analysis of fetal movements is characterized by much higher sensitivity of movement episode detection compared to the maternal perception.
Źródło:: Journal of Medical Informatics & Technologies; 2014, 23; 43-50
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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