Radar signal classification algorithms synthesis and analysis

Результат исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииНаучно-исследовательскаярецензирование

Язык оригиналаАнглийский
Название основной публикации2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781509054541
DOI
СостояниеОпубликовано - 26 мая 2017
Событие7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 - Sharjah, Объединенные Арабские Эмираты
Продолжительность: 4 апр 20176 апр 2017

Конференция

Конференция7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017
СтранаОбъединенные Арабские Эмираты
ГородSharjah
Период04/04/201706/04/2017

Отпечаток

Classification Algorithm
Radar
Upper and Lower Probabilities
Synthesis
Data Classification
Class number
Maximum Likelihood Method
Remote Sensing
Maximum likelihood
Remote sensing
Likelihood
Earth (planet)
Evaluate
Coefficient

Ключевые слова

    Предметные области ASJC Scopus

    • Computer Networks and Communications
    • Applied Mathematics
    • Control and Optimization
    • Modelling and Simulation

    Цитировать

    Dorosinskiy, L., & Myasnikov, F. (2017). Radar signal classification algorithms synthesis and analysis. В 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 [7934850] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMSAO.2017.7934850
    Dorosinskiy, Leonid ; Myasnikov, Filipp. / Radar signal classification algorithms synthesis and analysis. 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
    @inproceedings{90714057555b45c886eaf89e63f181db,
    title = "Radar signal classification algorithms synthesis and analysis",
    keywords = "Detection, Noise, Probability, Recognition algorithms",
    author = "Leonid Dorosinskiy and Filipp Myasnikov",
    year = "2017",
    month = "5",
    day = "26",
    doi = "10.1109/ICMSAO.2017.7934850",
    language = "English",
    booktitle = "2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017",
    publisher = "Institute of Electrical and Electronics Engineers Inc.",
    address = "United States",

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    Dorosinskiy, L & Myasnikov, F 2017, Radar signal classification algorithms synthesis and analysis. в 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017., 7934850, Institute of Electrical and Electronics Engineers Inc., 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017, Sharjah, Объединенные Арабские Эмираты, 04/04/2017. https://doi.org/10.1109/ICMSAO.2017.7934850

    Radar signal classification algorithms synthesis and analysis. / Dorosinskiy, Leonid; Myasnikov, Filipp.

    2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7934850.

    Результат исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииНаучно-исследовательскаярецензирование

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    AU - Myasnikov, Filipp

    PY - 2017/5/26

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    KW - Detection

    KW - Noise

    KW - Probability

    KW - Recognition algorithms

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    U2 - 10.1109/ICMSAO.2017.7934850

    DO - 10.1109/ICMSAO.2017.7934850

    M3 - Conference contribution

    BT - 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017

    PB - Institute of Electrical and Electronics Engineers Inc.

    ER -

    Dorosinskiy L, Myasnikov F. Radar signal classification algorithms synthesis and analysis. В 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7934850 https://doi.org/10.1109/ICMSAO.2017.7934850