Signal waveform extraction in the presence of regular and random noise

Diana Konstantinovna Avdeeva, Oleg Nikolaevich Vylegzhanin, Mariya Aleksandrovna Yuzhakova, Sergey Anatol yevich Rybalka, Michael Georgievich Grigoriev, Nikita Vladimirovich Turushev

Результат исследований: Материалы для журналаСтатья

Аннотация

The paper focuses on the problem of the signal waveform extraction in the presence of random and regular noise. The principal component analysis has been proposed to extract the waveform. Assuming that the analyzed signal in the recorded sequence is repeated with a certain periodicity, several portions containing the analyzed signal can be extracted using the "caterpillar" method. The obtained matrix is then subjected to singular value decomposition. It is shown that the waveform is defined by the first left singular vector. Mathematical modeling demonstrates the possibility to extract the waveform of the analyzed signal in the presence of random and regular noise. The model calculations prove the possibility to extract the signal waveform in case the level of random noise and the correlation of the extracted signal and regular noise change within a wide range.

Язык оригиналаАнглийский
Страницы (с-по)377-380
Число страниц4
ЖурналBiosciences Biotechnology Research Asia
Том11
DOI
СостояниеОпубликовано - 1 ноя 2014

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ASJC Scopus subject areas

  • Biotechnology
  • Agronomy and Crop Science
  • Drug Discovery

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