title: ÐÐ±ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð¼ÐµÐ¶Ð¼Ð¾Ð´Ð¾Ð²Ð¾Ð³Ð¾ Ð²Ð¾Ð»Ð¾ÐºÐ¾Ð½Ð½Ð¾-Ð¾Ð¿ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¸Ð½ÑÐµÑÑÐµÑÐ¾Ð¼ÐµÑÑÐ° Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Processing of signals of multimode fiber-optic interferometer using machine learning
Creators: name: ÐÑÐ·Ð½ÐµÑÐ¾Ð², ÐÐ½Ð°ÑÐ¾Ð»Ð¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÐÐ½ÑÐµÑÑÐµÑÐ¾Ð¼ÐµÑÑÑ
ÐÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑ
ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¡Ð¸Ð³Ð½Ð°Ð»Ñ
ÐÐ°ÑÑÐ¸ÐºÐ¸
Ð¸Ð·Ð¼ÐµÑÐµÐ½Ð¸Ðµ Ð¿ÑÐ»ÑÑÐ¾Ð²Ð¾Ð¹ Ð²Ð¾Ð»Ð½Ñ
pulse wave measurement

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐµ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð¼ÐµÐ¶Ð¼Ð¾Ð´Ð¾Ð²ÑÑ Ð²Ð¾Ð»Ð¾ÐºÐ¾Ð½Ð½Ð¾-Ð¾Ð¿ÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¸Ð½ÑÐµÑÑÐµÑÐ¾Ð¼ÐµÑÑÐ¾Ð². ÐÐ»Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð¼ÐµÐ¶Ð¼Ð¾Ð´Ð¾Ð²ÑÑ Ð²Ð¾Ð»Ð¾ÐºÐ¾Ð½Ð½Ð¾-Ð¾Ð¿ÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¸Ð½ÑÐµÑÑÐµÑÐ¾Ð¼ÐµÑÑÐ¾Ð² Ð±ÑÐ»Ð¾ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð° MUSIC. ÐÐ¾ÐºÐ°Ð·Ð°Ð½Ð¾, ÑÑÐ¾ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ ÑÑÐ°Ð´Ð¸ÑÐ¸Ð¾Ð½Ð½ÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¾ÑÐµÐ½ÐºÐ¸ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð° ÑÐ¸Ð³Ð½Ð°Ð»ÑÐ½ÑÑ ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½Ñ Ð¿ÑÐ¸Ð²Ð¾Ð´Ð¸Ñ Ðº Ð½ÐµÐºÐ¾ÑÑÐµÐºÑÐ½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ Ð¼ÐµÑÐ¾Ð´Ð° MUSIC. ÐÑÐ»Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð° Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð½Ð°ÑÐ¾Ð¶Ð´ÐµÐ½Ð¸Ñ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð° ÑÐ¸Ð³Ð½Ð°Ð»ÑÐ½ÑÑ ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½Ñ Ð² Ð¼ÐµÑÐ¾Ð´Ðµ MUSIC. ÐÑÐ»Ð¾ Ð¿Ð¾ÐºÐ°Ð·Ð°Ð½Ð¾ Ð²Ð»Ð¸ÑÐ½Ð¸Ðµ Ð¿ÑÐµÐ¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ð¹, Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸Ð¼ÑÑ Ð½Ð°Ð´ ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½ÑÐ¼Ð¸ ÑÐ¸ÑÐ»Ð°Ð¼Ð¸ ÐºÐ¾Ð²Ð°ÑÐ¸Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ Ð¼Ð°ÑÑÐ¸ÑÑ, Ð¾Ð±ÑÐ°Ð±Ð°ÑÑÐ²Ð°ÐµÐ¼Ð¾Ð³Ð¾ ÑÐ¸Ð³Ð½Ð°Ð»Ð° Ð½Ð° ÑÐ¾ÑÐ½Ð¾ÑÑÑ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð° ÑÐ¸Ð³Ð½Ð°Ð»ÑÐ½ÑÑ ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½Ñ. Ð ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ð³Ð¾, Ð±ÑÐ»Ð¾ Ð²ÑÐ±ÑÐ°Ð½Ð¾ Ð»Ð¾Ð³Ð°ÑÐ¸ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½ÑÑ ÑÐ¸ÑÐµÐ» ÐºÐ¾Ð²Ð°ÑÐ¸Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ Ð¼Ð°ÑÑÐ¸ÑÑ Ð¿ÐµÑÐµÐ´ Ð¿Ð¾Ð´Ð°ÑÐµÐ¹ Ð¸Ñ Ð½Ð° Ð²ÑÐ¾Ð´ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸. Ð­ÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ°Ð»ÑÐ½Ð¾ Ð¿ÑÐ¾Ð´ÐµÐ¼Ð¾Ð½ÑÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¾ Ð¿ÑÐµÐ¸Ð¼ÑÑÐµÑÑÐ²Ð¾ Ð¼ÐµÑÐ¾Ð´Ð° MUSIC Ð¿ÑÐ¸ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐµ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð¼ÐµÐ¶Ð¼Ð¾Ð´Ð¾Ð²Ð¾Ð³Ð¾ Ð¸Ð½ÑÐµÑÑÐµÑÐ¾Ð¼ÐµÑÑÐ° Ð¿ÐµÑÐµÐ´ Ð¿ÑÐµÐ¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¤ÑÑÑÐµ. Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¼Ð¾Ð³ÑÑ Ð±ÑÑÑ Ð²Ð¾ÑÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ñ, ÐºÐ°Ðº Ð´Ð»Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð´ÑÑÐ³Ð¸Ñ Ð²Ð¾Ð»Ð¾ÐºÐ¾Ð½Ð½Ð¾-Ð¾Ð¿ÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°ÑÑÐ¸ÐºÐ¾Ð², ÑÐ°Ðº Ð¸ Ð¼Ð½Ð¾Ð³Ð¾ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½ÑÑÑ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð´ÑÑÐ³Ð¾Ð¹ Ð¿ÑÐ¸ÑÐ¾Ð´Ñ, Ð½Ð°Ð¿ÑÐ¸Ð¼ÐµÑ ÑÐ°Ð´Ð¸Ð¾Ð»Ð¾ÐºÐ°ÑÐ¸Ð¾Ð½Ð½ÑÑ.
description: The given work is devoted to signal processing of multimode fiber-optic interferometers. To increase the efficiency of signal processing of multimode fiber- optic interferometers, it was proposed to use the MUSIC method. It is shown that the use of traditional methods for assessing the number of signal components leads to incorrect operation of the MUSIC method. The possibility of using machine learning to find the number of signal components in the MUSIC method was investigated. The influence of transformations performed on the eigenvalues of the covariance matrix of the processed signal on the accuracy of determining the number of signal components was shown. The logarithm of the eigenvalues of the covariance matrix before feeding them to the input of the neural network was chosen as the optimal one. The advantage of the MUSIC method in the processing of signals from a multimode interferometer over the Fourier transform has been experimentally demonstrated. The results can be in demand both for processing signals from other fiber-optic sensors and multicomponent signals of a different nature, for example, radar signals.