Search Results - "Vasylyshyn, V. I."

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  1. 1

    Measure of Filtering Quality Assessment of Image Noise Using Nonparametric Statistic by Kostenko, P. Yu, Slobodyanyuk, V. V., Vasiuta, K. S., Vasylyshyn, V. I.

    “…The paper proposes a new numerical measure for filtering quality assessment of additive white Gaussian noise in digital images based on the analysis of…”
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    Journal Article
  2. 2

    Adaptive variant of the surrogate data technology for enhancing the effectiveness of signal spectral analysis using eigenstructure methods by Vasylyshyn, V. I.

    “…The problem of enhancing the effectiveness of spectral analysis of signals observed against the background of noise by the Root-MUSIC method has been…”
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    Journal Article
  3. 3

    Surrogate data generation technology using the SSA method for enhancing the effectiveness of signal spectral analysis by Kostenko, P. Yu, Vasylyshyn, V. I.

    “…The problem of enhancing the effectiveness of spectral analysis of signals observed against the background of noise has been considered by using the Root-MUSIC…”
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    Journal Article
  4. 4

    Enhancing the spectral analysis efficiency at low signal-to-noise ratios using the technology of surrogate data without the segmentation of observation by Kostenko, P. Yu, Vasylyshyn, V. I.

    “…A comparative analysis of two methods of estimating the observation correlation matrix (CM) based on obtaining an ensemble of its segments and a…”
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    Journal Article
  5. 5

    Signal processing correction in spectral analysis using the surrogate autocovariance observation functions obtained by the ATS-algorithm by Kostenko, P. Yu, Vasylyshyn, V. I.

    “…Theproblem of processing correction of signals observed against the background of noise has been considered in relation to their spectral analysis by the…”
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    Journal Article
  6. 6

    Enhancing the efficiency of spectral analysis of signals by the Root-MUSIC method using surrogate data by Kostenko, P. Yu, Vasylyshyn, V. I.

    “…A problem of enhancing the efficiency of spectral analysis of signals observed against the background of noise by using the Root-MUSIC method and the…”
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    Journal Article
  7. 7

    Methods of enhancing the estimation efficiency of the number of signal harmonic components by using the surrogate data technology by Kostenko, P. Yu, Vasylyshyn, V. I.

    “…The problem of enhancing the estimation efficiency of the number of harmonic components of signal based on its observation in the presence of additive white…”
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    Journal Article
  8. 8

    DOA estimation using beamspace root-music based estimator bank by Vasylyshyn, V. I.

    “…The estimator bank approach allows improving the performance of direction of arrival (DOA) estimation in the area of low signal-to-noise ratio. In the paper,…”
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    Conference Proceeding
  9. 9

    Sensor array processing using pseudo-noise resampling by Vasylyshyn, V. I.

    “…The problem of threshold performance improvement of direction finding using estimator bank approach is considered. The modified unitary Root-MUSIC estimator…”
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    Conference Proceeding
  10. 10

    Beamspace root estimator bank for DOA estimation with an improved threshold performance by Vasylyshyn, V. I.

    “…A beamspace root modification of pseudorandom joint estimation strategy (PR-JES) with using of the outlier identification and cure technique is presented. This…”
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    Conference Proceeding
  11. 11

    Antenna array signal processing with high-resolution by modified beamspace music algorithm by Vasyiyshyn, V.I.

    “…This paper addresses the problem of determining the directions-of-arrival (DOA's) of narrow-band emitter signals impinging on an antenna array. A modified…”
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    Conference Proceeding
  12. 12

    Antenna array signal processing with superresolution by 2-D Unitary TLS-ESPRIT with structure weighing by Vasylyshyn, V.I.

    “…In this paper we extend the recently proposed algorithm of direction-of-arrival (DOA) estimation named as Unitary TLS-ESPRIT with structure weighing (SW) for a…”
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    Conference Proceeding
  13. 13

    Direction finding using sparse array composed of multiple identical subarrays by Vasylyshyn, V.I., Garkusha, O.A.

    “…This paper addresses the problem of determining the directions-of-arrival (DOA's) of narrow-band emitter signals impinging on a sparse sensor array. We assume…”
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    Conference Proceeding