Метод підвищення завадостійкості передачі аудіоповідомлень у сучасних комунікаційних пристроях
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Файли
Дата
2018
Автори
Ковтун, Л.О
Ткачук, В.М.
Савчук, С.О.
Коvtun, L.
Tkachuk, V.
Savchuk, S.
Назва журналу
Номер ISSN
Назва тому
Видавець
Хмельницький національний університет
Анотація
Проводиться аналіз факторів, які впливають на якість передачі звукового сигналу бездротовим зв’язком. Якiсть бездротового зв’язку досить висока, але має певнi обмеження та недолiки порівняно з дротовим зв’язком. Для гарної якості сигналу, який потрібно передати по бездротовому протоколу, необхiдно враховувати багато факторів, включаючи колізію та стабiльнiсть з’єднання. В бездротовому варiантi передачi даних, якщо з’єднання нестабiльне, то погiршується i якiсть даних. За допомогою штучної нейронної мережі та приєднаних до сигналу метаданих стає можливим більш точно визначити заходи, що потрібно вжити для покращення якості зв’язку.
The analysis of the factors influencing the quality of the audio signal transmission by wireless communication is carried out. The kind of wireless communication is quite high, but has some limitations and shortcomings compared with wired communication. For a good signal quality that needs to be transmitted over a wireless protocol, many factors need to be taken into account, including the collision and the stability of the connection. In the wireless mode of data transmission, if the connection is unstable, then the quality of the data gets worse. With the help of an artificial neural network and attached metadata signals, it becomes possible to more accurately determine what steps need to be taken to improve communication quality. Signals in the modern world are around us all around. The quality of the transfer is influenced by a lot of factors. Signals are distorted and can be almost impossible to restore. The noise immunity of interference signals is an urgent task, because the signals are used not only for communication between people (mobile communication), but also in the military industry, satellite communications, etc., where the least disturbing, which leads to errors can lead to significant loss of information. This leads to false positives or system failures, to the perception of false commands, etc. The task of noise-free transmission of sound, especially in conditions of high noise, which can significantly distort the signal, is relevant. The article shows the possibility of automation of the processes of detecting and reducing interferences with the help of an artificial neural network. By using metadata attached to the signal, the artificial neural network will be able to more accurately determine what steps need to be taken to improve communication quality. Each time the artificial neural network will have more "experience" and will do its best.
The analysis of the factors influencing the quality of the audio signal transmission by wireless communication is carried out. The kind of wireless communication is quite high, but has some limitations and shortcomings compared with wired communication. For a good signal quality that needs to be transmitted over a wireless protocol, many factors need to be taken into account, including the collision and the stability of the connection. In the wireless mode of data transmission, if the connection is unstable, then the quality of the data gets worse. With the help of an artificial neural network and attached metadata signals, it becomes possible to more accurately determine what steps need to be taken to improve communication quality. Signals in the modern world are around us all around. The quality of the transfer is influenced by a lot of factors. Signals are distorted and can be almost impossible to restore. The noise immunity of interference signals is an urgent task, because the signals are used not only for communication between people (mobile communication), but also in the military industry, satellite communications, etc., where the least disturbing, which leads to errors can lead to significant loss of information. This leads to false positives or system failures, to the perception of false commands, etc. The task of noise-free transmission of sound, especially in conditions of high noise, which can significantly distort the signal, is relevant. The article shows the possibility of automation of the processes of detecting and reducing interferences with the help of an artificial neural network. By using metadata attached to the signal, the artificial neural network will be able to more accurately determine what steps need to be taken to improve communication quality. Each time the artificial neural network will have more "experience" and will do its best.
Опис
Ключові слова
бездротовий зв'язок, метадані, штучна нейронна мережа, звуковий сигнал, wireless communication, metadata, artificial neural network, sound signal
Бібліографічний опис
Ковтун Л. О. Метод підвищення завадостійкості передачі аудіоповідомлень у сучасних комунікаційних пристроях [Текст] / Л. О. Ковтун, В. М. Ткачук, С. О. Савчук // Вимірювальна та обчислювальна техніка в технологічних процесах. – 2018. – № 2. – С. 122-125.