Abstract: A method for automatic detection of antenna site conditions, ASC, at an antenna site, AS, of an antenna, A, the method comprising the steps of providing (S1) signal source observations, SSO, derived from signals received by the antenna, A, from at least one signal source, SS, and transforming (S2) the signal source observations, SSO, into images fed to a trained image-processing artificial intelligence, AI, model which calculates antenna site conditions, ASC, at an antenna site, AS, of the respective antenna, A.

Abstract: A method for use in connection with a data transmission network includes receiving a plurality of time interval error data samples over a sampling period and comparing a duration of the sampling period to a time threshold for the sampling period. If the duration of the sampling period is less than or equal to the time threshold for the sampling period, the method includes processing the received plurality of data samples so as to calculate in real time a maximum time interval error. However, if the duration of the sampling period exceeds the time threshold for the sampling period, the method includes dividing the sampling period into a finite number of sub-intervals and processing the data samples in each sub-interval so as to produce a respective intermediate result for each sub-interval. Each of these intermediate results is stored directly after it is produced, and these stored intermediate results are processed so as to estimate the maximum time interval error.

Abstract: A method for use in connection with a data transmission network includes receiving a plurality of time interval error data samples over a sampling period and comparing a duration of the sampling period to a time threshold for the sampling period. If the duration of the sampling period is less than or equal to the time threshold for the sampling period, the method includes processing the received plurality of data samples so as to calculate in real time a maximum time interval error. However, if the duration of the sampling period exceeds the time threshold for the sampling period, the method includes dividing the sampling period into a finite number of sub-intervals and processing the data samples in each sub-interval so as to produce a respective intermediate result for each sub-interval. Each of these intermediate results is stored directly after it is produced, and these stored intermediate results are processed so as to estimate the maximum time interval error.