Abstract: In one embodiment, the apparatus includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions and cause the apparatus to perform, receiving, by a receiver in an Optical Line Terminal, OLT, a burst of an upstream signal transmitted in burst mode, adjusting settings for an analog signal conditioning of the received upstream signal; performing the analog signal conditioning of the received upstream signal based on the adjusted settings such that a first compensated signal is provided, obtaining coefficient(s) for a digital signal conditioning of the first compensated signal; performing the digital signal conditioning of the first compensated signal based on the obtained coefficient(s) such that a second compensated signal is provided.

Abstract: A method, apparatus and computer readable medium provide for adaptive filtering. In a method, an audio signal is received based on near-end signals and reproduced far-end signals. The far-end signals are reproduced by one or more loudspeakers. The method also obtains a first set of one or more subband sequences based on the far-end signals and a a second set of one or more subband sequences based on the near-end signals. The method applies a first subband filter that includes a set of coefficients to a respective subband of the first set of one or more subband sequences to produce one or more filtered far-end subband sequences with a reduced time correlation. The method also processes the one or more filtered far-end subband sequences using a second subband filter to predict the second set of one or more subb and sequences, wherein the second subband filter comprises the adaptive filter.

Abstract: Example embodiments describe means (200) for performing i) pre-compensating (210, N sets of K1 tone data values (220) for crosstalk between N communication lines; the N sets of K1 tone data values pertaining to respective N terminal nodes of a digital communication system; ii) calculating (215) from the pre-compensated N sets of K1 tone data values (221) N sets of first time domain symbols (225); iii) calculating (283) a second time domain symbol (284) from a set of K2 tones values (280); the K2 tone data values pertaining to a selected one of the N terminal nodes; and iv) adding (212) the second time domain symbol in a weighted manner to the first time domain symbols such that the second time domain symbol is added to the first time domain symbol for the selected terminal node and to at least one other of the first time domain symbols for the respective other terminal nodes.

Abstract: The present disclosure relates to an equalizer training unit for deriving equalization parameters for compensating data-dependent distortion in received samples by use of a training sequence including a sequence p>1 times and cyclically comprising N sub-sequences of respective combinations of L time-domain symbols of a modulation scheme, wherein the N sub-sequences are cyclically arranged in a selected order and such that L?1 symbols of a respective sub-sequence overlap with symbols in the preceding and following sub-sequences. The present disclosure further relates to a training sequence generator unit for generative the training sequence and an equalizer employing the equalizer training unit.

Abstract: Examples of the disclosure enable tuning of the noise suppression in audio signals such as microphone captured signals. In examples of the disclosure, a machine learning program can be used to obtain outputs for a plurality of different frequency bands. One or more tuning parameters can also be obtained. The outputs can be processed to determine at least one uncertainty value and a gain coefficient for the plurality of different frequency bands. The at least one uncertainty value provides a measure of uncertainty for the gain coefficient, and the gain coefficient is adjusted by the at least one uncertainty value and the one or more tuning parameters. The adjusted gain coefficient is configured to be applied to a signal associated with at least one microphone output signal within the plurality of different frequency bands to control noise suppression for speech audibility.

Abstract: Apparatus, methods and computer programs are provided for reducing echo in microphone signals. The apparatus can be configured to obtain an echo path delay estimate and obtain information indicative of a number of future frames used by an acoustic echo cancellation filter. The apparatus can also be configured to obtain information indicative of a time shift between consecutive frames processed by the acoustic echo cancellation filter. The apparatus can also be configured to determine at least a first delay to be added to a loudspeaker signal and determine at least a second delay to be added to a microphone signal. The determination of the first delay and the second delay is based on the echo path delay estimate, the number of future frames and the time shift between consecutive frames processed by the acoustic echo cancellation filter.

Abstract: The method includes sending a first frame of a first modulation format that is suitable for a first group of receivers before sending a second frame of a second modulation format that is suitable for a second group of receivers, wherein the first modulation format is a higher modulation format than the second modulation format, and wherein the method further includes inserting into the first frame at least one symbol of the second modulation format at at least one outer edge of the first frame.

Abstract: The present disclosure relates to an equalizer training unit for deriving equalization parameters for compensating data-dependent distortion in received samples by use of a training sequence including a sequence p>1 times and cyclically comprising N sub-sequences of respective combinations of L time-domain symbols of a modulation scheme, wherein the N sub-sequences are cyclically arranged in a selected order and such that L?1 symbols of a respective sub-sequence overlap with symbols in the preceding and following sub-sequences. The present disclosure further relates to a training sequence generator unit for generative the training sequence and an equalizer employing the equalizer training unit.

Abstract: Example embodiments describe means (200) for performing i) pre-compensating (210, N sets of K1 tone data values (220) for crosstalk between N communication lines; the N sets of K1 tone data values pertaining to respective N terminal nodes of a digital communication system; ii) calculating (215) from the pre-compensated N sets of K1 tone data values (221) N sets of first time domain symbols (225); iii) calculating (283) a second time domain symbol (284) from a set of K2 tones values (280); the K2 tone data values pertaining to a selected one of the N terminal nodes; and iv) adding (212) the second time domain symbol in a weighted manner to the first time domain symbols such that the second time domain symbol is added to the first time domain symbol for the selected terminal node and to at least one other of the first time domain symbols for the respective other terminal nodes.