Identification of errors in the digital transmission paths of radio stations

• Autorzy: Pater Marcin , Grochowina Marcin

Identyfikatory

DOI

10.21008/j.0860-6897.2024.2.14

• Języki publikacji: EN

Abstrakty

EN

The radio stations now use a hybrid method of broadcasting. Transmission between the studio and the transmitter is digital. In the transmitter digital signal is converted to analog and this signal is transmitted by AM or FM modulation. The identified problem are transmission errors in the digital path. Single errors in transmission are not unusual and happen in most cases systems. However, repeated and grouping errors are usually a sign of track damage transmission line and require intervention. In the article presents an example solution to automatically detect some errors that manifest themselves in the identified way. To identify transmission errors, basic statistical methods were used that allowed to create a reference data set on the basis of which it is possible to identify the fact occurrence of an error based on patterns and algorithms from the machine learning area. The environments related to the radio industry are keenly interested in researching this phenomenon because now is not available solutions allowing for automatic detection and identification of this type problems.

Słowa kluczowe

EN

machine learning; noise; sound distortion; radio line; sound samples; classifier; phenomenon detection

PL

uczenie maszynowe; hałas; zniekształcenie dźwięku; linia radiowa; klasyfikator; wykrywanie zjawisk

• Wydawca: Poznan University of Technology. Institute of Applied Mechanics
• Czasopismo: Vibrations in Physical Systems
• Rocznik: 2024
• Tom: Vol. 35, nr 2
• Strony: art. no. 2024214
• Opis fizyczny: Bibliogr. 14 poz., rys., wykr.

Twórcy

autor

Pater Marcin

• Uniwersytet Rzeszowski, Al Rejtana 16c, 35-959 Rzeszów

• https://orcid.org/0009-0008-2414-7193

autor

Grochowina Marcin

• Uniwersytet Rzeszowski, Al Rejtana 16c, 35-959 Rzeszów

• https://orcid.org/0000-0001-6033-0210

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