EDI — Elektronikas un datorzinātņu institūts

Pētniecība

Publikācijas

729 publikācijas

  • 2009

    Digitālu rentgena attēlu analizators svešķermeņu atklāšanai objektos reālā laika režīmā

    I.Mednieks, A.Skaģeris

    Kopsavilkums

    <p>LR patents Nr. 13857. “Digitālu rentgena attēlu analizators svešķermeņu atklāšanai objektos reālā laika režīmā”. Izgudrotāji: I.Mednieks, A.Skaģeris. Īpašnieks: Elektronikas un datorzinātņu institūts, publicēts 20.03.2009.</p>

  • 2009

    Potential of the DSP-based Method for Fast Precise Event Timing

    Yu.Artyukh, V. Bespal’ko, E. Boole

    Kopsavilkums

    <p>Yu.Artyukh, V. Bespal’ko, E. Boole. “Potential of the DSP-based Method for Fast Precise Event Timing”, “Electronics and Electrical Engineering”- Kaunas: Technologija, 2009, No. 4(92), pp.19–22</p>

  • 2009

    Features of Implementation of the Modified “up-and-down” Method

    K.Krūmiņš, V.Pētersons, V.Plociņš

    Kopsavilkums

    <p>K.Krūmiņš, V.Pētersons, V.Plociņš. "Features of Implementation of the Modified “up-and-down” Method”, “Electronics and Electrical Engineering” - Kaunas: Technologija, 2009, No.5(93), pp. 51-54.</p>

  • 2009

    Estimating the Time Position of the Pulse Signal Midpoint by a Small Number of Samples in High-Precision Event Timing

    A.Rybakov

    Kopsavilkums

    <p>A.Rybakov. “Estimating the Time Position of the Pulse Signal Midpoint by a Small Number of Samples in High-Precision Event Timing”, “Automatic Control and Computer Sciences”, Allerton Press, Inc., 2009, Vol. 43, No. 1, pp.9–16.<br /> The interpolation method in event timing based on estimation of the time position of a monopulse signal by a small number (3 to 16) of samples is studied. It is shown that the estimates need to be corrected. An algorithm for constructing the corrective function using the reconstructed shape of the monopulse signal is proposed. The efficiency of the interpolation method is illustrated by the results of a computing experiment on time interval measurement.</p>

  • 2009

    Real Time Image Processing for Object Detection

    I.Mednieks, A.Skageris

    Kopsavilkums

    <p>I.Mednieks, A.Skageris. “Real Time Image Processing for Object Detection”, “Electronics and Electrical Engineering”, Kaunas: Technologija, 2009, No.4(92), p.33-36.</p>

  • 2009

    Fast Object Detection in Digital Grayscale Images

    A.Lorencs, I.Mednieks, J.Sinica-Sinavskis

    Kopsavilkums

    <p>A.Lorencs, I.Mednieks, J.Sinica-Sinavskis. “Fast Object Detection in Digital Grayscale Images”, Proceedings of the Latvian Academy of Sciences. Section B., 2009, Vol.63, No.3, pp.116-124.<br /> Abstract</p> <p>The problem of specific object detection in digital grayscale images is considered under the following conditions: relatively small image fragments can be analysed (a priori information about the size of objects is available); images contain a varying undefined background (clutter) of larger objects; processing time should be minimised and must be independent from the image contents; proposed methods should provide for efficient implementation in application-specific electronic circuits. The last two conditions reflect the aim to propose approaches suitable for application in real time systems where known sophisticated methods would be inapplicable. The research is motivated by potential applications in the food industry (detection of contaminants in products from their X-ray images), medicine (detection of anomalies in fragments of computer tomography images etc.). Possible objects to be detected may include compact small objects, curved lines in different directions, and small regions of pixels with brightness different from the background. The paper describes proposed image processing approaches to detection of such objects and the results obtained from processing of sample food images.</p>

  • 2009

    Advanced Design of DSP-based High Precision Event Timer

    V.Vedin

    Kopsavilkums

    <p>V.Vedin. “Advanced Design of DSP-based High Precision Event Timer”, “Electronics and Electrical Engineering”, Kaunas: Technologija,, 2009, No.6(94), pp.35-38.</p>

  • 2009

    Real Time Acquisition of Wideband Signals Data Using Non-Uniform Sampling

    I.Homjakovs, M. Greitans, R. Shavelis

    Kopsavilkums

    <p>I.Homjakovs, M. Greitans, R. Shavelis. “Real Time Acquisition of Wideband Signals Data Using Non-Uniform Sampling”, Proceedings of the IEEE Region 8 Conference EUROCON 2009. Saint–Petersburg, Russia, May, 2009., pp. 1158-1163.</p>

  • 2008

    The experimental research of digital sampling converter

    E.Beiners, K.Kruminsh, V.Peterson

    Kopsavilkums

    <p>E.Beiners, K.Kruminsh, V.Peterson. The experimental research of a digital sampling signal converter. Automatic Control and Computer Sciences, Allerton Press, Inc., Vol. 42, No. 1, 2008, pp. 40-44.<br /> The sensivity and rise time of a transient characteristic of a digital sampling signal converter are experimentally researched. The sampling converter is built at a clocked tunnel-diode comparator.</p>

  • 2008

    Ошибки нелинейности прецизионного таймирования событий

    Ю.Артюх, В.Беспалько, Е.Буль

    Kopsavilkums

    <p>Ю.Артюх, В.Беспалько, Е.Буль. Ошибки нелинейности прецизионного таймирования событий. //Автоматика и вычислительная техника, № 4, 2008, с. 37-45. (English edition: Yu. Artyukh, V. Bespal’ko, E. Boole. Non-linearity errors of high-precision event timing // Automatic Control and Computer Sciences, Vol. 42, No. 4, 2008, pp. 191-196).<br /> Рассматриваются два основных вида ошибок нелинейности прецизионного таймирования событий и методы оценки этих ошибок, основанные на статистических испытаниях. На примере оценки ошибок нелинейности для конкретной реализации таймера событий показано, что предложенные методы обеспечивают субпикосекундную погрешность оценки ошибок нелинейности.</p>

  • 2008

    Оценивание и коррекция временного смещения предвычисленной траектории в спутниковой лазерной локации

    А.С. Рыбаков

    Kopsavilkums

    <p>А.С. Рыбаков. Оценивание и коррекция временного смещения предвычисленной траектории в спутниковой лазерной локации //Автоматика и вычислительная техника, № 1, 2008, с.5-15. (English edition: A. S. Rybakov. Estimation and Correction of the Time Bias of a Calculated Trajectory in Satellite Laser Ranging // Automatic Control and Computer Sciences, Vol. 42, No. 1, 2008, pp. 1–9).<br /> Предложен алгоритм реального времени для оценивания и коррекции отклонений предвычисленной траектории от фактической траектории. Для описания участка траектории используются аппроксимирующие полиномы низких степеней. Приведены аналитические выражения для оценок коэффициентов регрессии и параметров временного смещения траектории</p>

  • 2008

    Event Timing System for Riga SLR Station

    Yu.Artyukh, V.Bespal'ko, K.Lapushka, A.Rybakov

    Kopsavilkums

    <p>Yu.Artyukh, V.Bespal'ko, K.Lapushka, A.Rybakov. Event Timing System for Riga SLR Station. Proceedings of the 15th International Workshop on Laser Ranging, Canberra, Australia, 2008, Vol.2, pp. 306-310.</p>

  • 2008

    Biomedical Image Processing Based on Regression Models

    A.Lorencs, I.Mednieks, J.Sinica-Sinavskis

    Kopsavilkums

    <p>A.Lorencs, I.Mednieks, J.Sinica-Sinavskis. Biomedical Image Processing Based on Regression Models. NBC - 14th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, Riga, June 16-20, 2008. IFMBE Proceedings, Vol.20, pp. 536-539.</p>

  • 2008

    Klasteranalīze

    A.Lorencs

    Kopsavilkums

    <p>A.Lorencs. Klasteranalīze. LU Matemātikas nodaļa. Lekciju konspekts, 2008.g., 106 lpp. Izstrādāts Eiropas Sociālā Fonda līdzfinansētā projekta Nr. 2006/0234/VPD1/ESF/PIAA/06/APK/3.2.3.2./0005/0063 “Matemātiķa – statistiķa studiju programmas modernizēšana Latvijas Universitātē” ietvaros.</p>

  • 2008

    Implementation of Finite State Machines on the Basis of an Embedded Memory Block

    V.Chapenko, K.Boule

    Kopsavilkums

    <p>V.Chapenko, K.Boule. Implementation of Finite State Machines on the Basis of an Embedded Memory Block. Proceedings of IEEE East-West Design &amp; Test Symposium (EWDTS’08), Lviv, Ukraine, October 9-12, 2008, pp. 414-417.</p>

  • 2008

    Object detection in grayscale images based on covariance features

    I.Medniek

    Kopsavilkums

    <p>I.Mednieks. Object detection in grayscale images based on covariance features. Proceedings of ICSES 2008, Krakow, September 2008, pp. 205-209</p>

  • 2008

    Level-crossing sampling using microprocessor based system

    A.Baums, U.Grunde, M.Greitans

    Kopsavilkums

    <p>A.Baums, U.Grunde, M.Greitans. Level-crossing sampling using microprocessor based system. Proceedings of the International Conference on Signals and Electronic Systems ICSES’08, Krakow, Poland, Sep. 2008, pp.19-22.</p>

  • 2008

    Why can we detect the chaos? Rare Attractors and Rare Phenomena in Nonlinear Dynamics

    I.Bula, J.Buls, I.Rumbeniece

    Kopsavilkums

    <p>I.Bula, J.Buls, I.Rumbeniece. Why can we detect the chaos? Rare Attractors and Rare Phenomena in Nonlinear Dynamics. Materials of the Intrenational Symposium RA08, edited by M. Zakrzhevsky, RTU, Rīga – Jūrmala, Latvija, September 8 – 12, pp. 14 – 17.</p>

  • 2008

    Статистический метод регистрации зашумленных сигналов с улучшенными характеристиками

    В.Карклиньш

    Kopsavilkums

    <p>В.Карклиньш. Статистический метод регистрации зашумленных сигналов с улучшенными характеристиками. Автоматика и вычислительная техника, №5, 2008, с.68-75.<br /> Исследована модификация статистического метода регистрации сильно зашумленных сигналов с лучшим отношением сигнал/шум, с увеличенным динамическим диапазоном и быстродействием.</p>

  • 2008

    “Three-phase” Representation of Harmonic Signals for Application to Non-contact Diagnostics of Electric Power Transmission Lines

    M.Greitans, E.Hermanis

    Kopsavilkums

    <p>M.Greitans, E.Hermanis. “Three-phase” Representation of Harmonic Signals for Application to Non-contact Diagnostics of Electric Power Transmission Lines. Proceedings of the International Symposium ELMAR-2008, Zadar, Croatia, September 10-12, 2008, pp. 427-430.</p>