zhpsЖурнал прикладной спектроскопииZhurnal Prikladnoii Spektroskopii0514-7506B. I. Stepanov Institute of Physics of the National Academy of Scienceszhps-775Research ArticleСтатьиУДАЛЕНИЕ ШУМОВ И ВЫБРОСОВ ИЗ СПЕКТРОВ КОМБИНАЦИОННОГО РАССЕЯНИЯ С ИСПОЛЬЗОВАНИЕМ ДВОЙНОГО КОМПЛЕКСНОГО ВЕЙВЛЕТ-ПРЕОБРАЗОВАНИЯ ДВОЙНОЙ ПЛОТНОСТИDENOISING AND SPIKE REMOVAL FROM RAMAN SPECTRA USING DOUBLE DENSITY DUAL-TREE COMPLEX WAVELET TRANSFORMSharanT. S.SharanT. S.

Варанаси-221003, Уттар-Прадеш

Varanasi-221003, Uttar Pradesh

SharmaSh.SharmaSh.

Варанаси-221003, Уттар-Прадеш

Varanasi-221003, Uttar Pradesh

tareshss.rs.bme16@itbhu.ac.inSharmaN.SharmaN.

Варанаси-221003, Уттар-Прадеш

Varanasi-221003, Uttar Pradesh

Школа биомедицинской инженерии Индийского технологического института (BHU)School of Biomedical Engineering at Indian Institute of Technology (BHU)202129012021881129136Copyright © Sharan T.S., Sharma S., Sharma N., 20212021Sharan T.S., Sharma S., Sharma N.Sharan T.S., Sharma S., Sharma N.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://zhps.ejournal.by/jour/article/view/775

Предложен метод двойного комплексного вейвлет-преобразование двойной плотности для подавления шума в сигнале КР. Проведено сравнительное исследование двойного комплексного вейвлетпреобразования двойной плотности с дискретным вейвлет-преобразованием, двойным комплексным вейвлет-преобразованием и методом сглаживания по Савицкому–Голею. Шумоподавление на основе двойного комплексного вейвлет-преобразования двойной плотности может улучшить количественный и качественный анализ сигнала КР.

We aim to show the effectiveness of the double density dual-tree complex wavelet transform to denoise the Raman signal. A comparative study is carried out of the double density dual-tree complex wavelet transform with the discrete wavelet transform, dual tree complex wavelet transforms, and Savitzky–Golay smoothing method to show its capability and effectiveness. Results show that denoising based on the double density dual-tree complex wavelet transform can improve the quantitative and qualitative analysis of the Raman signal.

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The authors declare that there are no conflicts of interest present.