H04B3/238

Aggregating hardware loopback

Methods and devices for aggregating hardware loopback streams of a plurality of display devices in communication with a computer device may include a plurality of hardware loopback streams with rendered audio data from the plurality of display devices in communication with the computer device. The methods and devices may include combining the rendered audio data from the plurality of hardware loopback streams into a loopback buffer to create aggregated loopback audio data. The methods and devices may include providing the loopback buffer with the aggregated loopback audio data to one or more applications executing on the computer device.

Signal transmission method, signal transmission apparatus and display device

A signal transmission method, a signal transmission apparatus and a display device are provided which belonging to the field of display technology. The signal transmission method is applied to a signal sender, the signal sender includes a first interface, a point-to-point connection is established between the first interface and a second interface of a signal receiver, the signal transmission method includes: sending a non-periodic training signal to the second interface via the first interface in an interval of transmission of pixel data. EMI generated during data transmission is reduced by using a technical solution of the present disclosure.

Training optimization of multiple lines in a vectored system using a prepared-to-join group
11677438 · 2023-06-13 · ·

A method for initialization of a group of customer premises equipment devices (CPEs) during a training that registers capabilities of the CPEs is disclosed, wherein at least one CPE registers late to the training and cannot be registered. The method includes determining capabilities of the CPEs during a joining phase of the training, wherein it is determined whether a CPE device is capable of employing vectoring and placing in a hold status the at least one CPE that registers late by keeping a line active that is coupled to the at least one CPE. The method further includes providing another joining phase after the joining phase to register the at least one CPE that registers late.

Machine learning based uplink coverage enhancement using peak reduction tones

Certain aspects of the present disclosure provide techniques for generating and decoding orthogonal frequency division (OFDM) waveforms with peak reduction tones (PRTs) designed to reduce PAPR. By generating PRT tones with a machine learning (e.g., neural network) based encoder and mapping some of the PRT tones to subcarriers used for physical channels or signals, PAPR may be reduced while efficiently using system resources.

Training optimization of multiple lines in a vectored system using a prepared-to-join group

A method for initialization of a group of customer premises equipment devices (CPEs) during a training that registers capabilities of the CPEs is disclosed, wherein at least one CPE registers late to the training and cannot be registered. The method includes determining capabilities of the CPEs during a joining phase of the training, wherein it is determined whether a CPE device is capable of employing vectoring, and placing in a hold status the at least one CPE that registers late by keeping a line active that is coupled to the at least one CPE. The method further includes providing another joining phase after the joining phase to register the at least one CPE that registers late.

Training Optimization of Multiple Lines in a Vectored System Using a Prepared-to-Join Group
20220209819 · 2022-06-30 ·

A method for initialization of a group of customer premises equipment devices (CPEs) during a training that registers capabilities of the CPEs is disclosed, wherein at least one CPE registers late to the training and cannot be registered. The method includes determining capabilities of the CPEs during a joining phase of the training, wherein it is determined whether a CPE device is capable of employing vectoring and placing in a hold status the at least one CPE that registers late by keeping a line active that is coupled to the at least one CPE. The method further includes providing another joining phase after the joining phase to register the at least one CPE that registers late.

Third order intermodulation distortion cancellation

Various embodiments relate to a cancellation circuit configured to generate a cancellation signal, including: an attenuator configured to attenuate a transmitted signal from an aggressor transmitter based upon a first attenuation value; an I/Q demodulator configured to split an attenuated signal into in-phase (I) and quadrature signals (Q); a phase interpolator configured to apply a calibration phase shift and a calibration attenuation to the I signal and Q signal and to recombine the I and Q signals; an auxiliary balun coupled to an output of the phase interpolator; and an auxiliary power amplifier with an input connected to the auxiliary balun configured to generate the cancellation signal, wherein the output of the auxiliary power amplifier is connected to an output of a victim transmitter.

ECHO CANCELLER TRAINING IN FULL DUPLEX NETWORKS

In some embodiments, a method receives a first signal that is sent in a first direction in a network. Communications in the network are full duplex communications in a same frequency band. The first signal is amplified in the first direction. The method trains a first echo canceller to cancel a first echo signal from the first signal where the first echo signal is received in a second direction. After training the first echo canceller, the trained first echo canceller is enabled. The method receives a second signal in the second direction that is sent in the second direction in the network. The second signal is amplified in the second direction. The method trains a second echo canceller to cancel a second echo signal received in the first direction from the second signal where the first echo canceller cancels the first echo signal that is received in the second direction.

Machine learning based receiver performance improvement using peak reduction tones

Various embodiments include methods performed in receiver circuitry of a wireless communication device for demodulating wireless transmission waveforms to reconstruct data tones, which may include receiving, from a transmitter, wireless transmission waveforms that includes peak reduction tones (PRTs) that were inserted by a PRT neural network in the transmitter, and demodulating the received wireless transmission waveforms using a decoder neural network that has been trained based on outputs of the transmitter to output a reconstruction of the data tones. Further embodiments include exchanging information between the transmitter and receiver circuitry to coordinate the PRT neural network used for inserting PRTs in the transmitting wireless communication device and the decoder neural network used in the receiving wireless communication device for demodulating transmission waveforms received from the transmitting wireless communication device.

Echo canceller training in full duplex networks

In some embodiments, a method receives a first signal that is sent in a first direction in a network. Communications in the network are full duplex communications in a same frequency band. The first signal is amplified in the first direction. The method trains a first echo canceller to cancel a first echo signal from the first signal where the first echo signal is received in a second direction. After training the first echo canceller, the trained first echo canceller is enabled. The method receives a second signal in the second direction that is sent in the second direction in the network. The second signal is amplified in the second direction. The method trains a second echo canceller to cancel a second echo signal received in the first direction from the second signal where the first echo canceller cancels the first echo signal that is received in the second direction.