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Wyświetlanie 1-2 z 2
Tytuł:
Research on communication emitter identification based on semi-supervised dimensionality reduction in complex electromagnetic environment
Autorzy:
Ge, Wei
Qi, Lin
Tong, Lin
Zhu, Jun
Zhang, Jing
Zhao, Dongyang
Li, Ke
Powiązania:
https://bibliotekanauki.pl/articles/27311449.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
communication emitter identification
feature extraction
dimensionality reduction
VMD
ESDA
variational mode decomposition
exponential semi-supervised discriminant analysis
identyfikacja emitera komunikacyjnego
ekstrakcja cech
redukcja wymiarowości
rozkład w trybie wariacyjnym
analiza dyskryminacyjna wykładnicza półnadzorowana
Opis:
The individual identification of communication emitters is a process of identifying different emitters based on the radio frequency fingerprint features extracted from the received signals. Due to the inherent non-linearity of the emitter power amplifier, the fingerprints provide distinguishing features for emitter identification. In this study, approximate entropy is introduced into variational mode decomposition, whose features performed in each mode which is decomposed from the reconstructed signal are extracted while the local minimum removal method is used to filter out the noise mode to improve SNR. We proposed a semi-supervised dimensionality reduction method named exponential semi-supervised discriminant analysis in order to reduce the high-dimensional feature vectors of the signals, and LightGBM is applied to build a classifier for communication emitter identification. The experimental results show that the method performs better than the state-of-the-art individual communication emitter identification technology for the steady signal data set of radio stations with the same plant, batch and model.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 4; art. no. e145766
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Application Of Local Indicators For Categorical Data (LICD) In The Spatial Analysis Of Economic Development
Autorzy:
Pietrzak, Michał B.
Wilk, Justyna
Bivand, Roger S.
Kossowski, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/633087.pdf
Data publikacji:
2014-12-01
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
join-count test
spatial dependence
local indicators of spatial association (LISA)
exploratory spatial data analysis (ESDA)
economic development
taxonomic analysis
Opis:
The paper makes an attempt to apply local indicators for categorical data (LICD) in the spatial analysis of economic development. The first part discusses the tests which examine spatial autocorrelation for categorical data. The second part presents a two-stage empirical study covering 66 Polish NUTS 3 regions. Firstly, we identify classes of regions presenting different economic development levels using taxonomic methods of multivariate data analysis. Secondly, we apply a join-count test to examine spatial dependencies between regions. It examines the tendency to form the spatial clusters. The global test indicates general spatial interactions between regions, while local tests give detailed results separately for each region. The global test detects spatial clustering of economically poor regions but is statistically insignificant as regards well-developed regions. Thus, the local tests are also applied. They indicate the occurrence of five spatial clusters and three outliers in Poland. There are three clusters of wealth. Their development is based on a diffusion impact of regional economic centres. The areas of eastern and north western Poland include clusters of poverty. The first one is impeded by the presense of three indiviual growth centres, while the second one is out of range of diffusion influence of bigger agglomerations.
Źródło:
Comparative Economic Research. Central and Eastern Europe; 2014, 17, 4; 203-220
1508-2008
2082-6737
Pojawia się w:
Comparative Economic Research. Central and Eastern Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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