Identification of errors in the digital transmission paths of radio stations.

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. [ABSTRACT FROM AUTHOR]