Method and apparatus for monitoring a communication line

A computer-implemented method for monitoring a communication line, comprising:

• obtaining echo response data representative of the echo response of a communication line, wherein the echo response data specifies the echo response based on two dimensions, the two dimensions include a first dimension data including read data or magnitude data and a second dimension data including imaginary data or phase data,
• determining at least one property of the communication line based on processing the echo response data with a neural network, wherein the neural network comprises at least:
• a first convolutional branch for processing the first dimension data,
• a second convolutional branch for processing the second dimension data,
• a dense part for processing outputs of the first and second convolutional branches.

A non-transitory computer readable medium storing a computer program comprising instructions for causing a computer to:

• obtain echo response data representative of the echo response of a communication line, wherein the echo response data specifies the echo response based on two dimensions, the two dimensions include a first dimension data including real data or magnitude data and a second dimension data, including imaginary data or phase data,
• determine at least one property of the communication line based on processing the echo response data with a neural network, wherein the neural network comprises at least:
• a first convolutional branch for processing the first dimension data,
• a second convolutional branch for processing the second dimension data,
• a dense part for processing outputs of the first and second convolutional branches.