Systems, methods, and devices reduce and mitigate spurs that may occur in transmit waveforms of wireless communications devices. Methods include receiving a plurality of samples of a baseband transmission and generating, using a processing device, an estimated amplitude and an estimated phase of a spur component of the baseband transmission based on the received plurality of samples, the spur component being a spectral spike in a transmit waveform. Methods further include generating, using the processing device, a canceling signal configured to cancel the estimated amplitude and estimated phase of the spur component, and canceling the spur component of the baseband transmission by combining the canceling signal with a transmission of at least a portion of a data packet.

Systems, methods, and devices reduce and mitigate spurs that may occur in transmit waveforms of wireless communications devices. Methods include receiving a plurality of samples of a baseband transmission and generating, using a processing device, an estimated amplitude and an estimated phase of a spur component of the baseband transmission based on the received plurality of samples, the spur component being a spectral spike in a transmit waveform. Methods further include generating, using the processing device, a canceling signal configured to cancel the estimated amplitude and estimated phase of the spur component, and canceling the spur component of the baseband transmission by combining the canceling signal with a transmission of at least a portion of a data packet.

A transmission device includes an imparter configured to impart redundant data to the beginning of each of a plurality of data blocks divided from a data signal, a plurality of THP operators configured to parallelly precode the plurality of data blocks to which the redundant data is imparted, a transmitter configured to sequentially transmit the plurality of data blocks precoded by the plurality of THP operators and the redundant data imparted to each of the plurality of data blocks to a transmission line according to an arrangement order in the data signal, wherein the plurality of THP operators feed back a plurality of pieces of the redundant data to the plurality of data blocks, respectively.

Deterioration of convergence performance or operational stability due to an increase in constraint length is suppressed when coefficients are updated, so that decoding performance is improved. A decoding device according to the present technology includes an adaptive equalization unit that performs adaptive equalization, an adaptive maximum likelihood decoding unit that causes an identification point of maximum likelihood decoding to adaptively follow a characteristic of an input signal, a target waveform generation unit that, by convoluting a partial response coefficient into a decoded value, generates an equalization target waveform of the adaptive equalization which is performed by the adaptive equalization unit, an error signal generation unit that generates, as an equalization error signal, an error signal between the equalization target waveform and an equalized signal, and a coefficient updating unit that, through least-square-method computation for minimizing a correlation between the decoded value and the equalization error signal, updates the partial response coefficient which is used by the target waveform generation unit to generate the equalization target waveform.

This specification relates to end-to-end learning in communication systems and describes: organising a plurality of transmitter neutral networks and a plurality of receiver neural networks into a plurality of transmitter-receiver neural network pairs, wherein a transmitter-receiver neural network pair is defined for each of a plurality of subcarrier frequency bands of a multi-carrier transmission system; arranging a plurality of symbols of the multi-carrier transmission system into a plurality of transmit blocks; mapping each of said transmit blocks to one of the transmitter-receiver neural network pairs; transmitting each symbol using the mapped transmitter-receiver neural network pair; and training at least some weights of the transmit and receive neural networks using a loss function for each transmitter-receiver neural network pair.

This specification relates to end-to-end learning in communication systems and describes: organising a plurality of transmitter neutral networks and a plurality of receiver neural networks into a plurality of transmitter-receiver neural network pairs, wherein a transmitter-receiver neural network pair is defined for each of a plurality of subcarrier frequency bands of a multi-carrier transmission system; arranging a plurality of symbols of the multi-carrier transmission system into a plurality of transmit blocks; mapping each of said transmit blocks to one of the transmitter-receiver neural network pairs; transmitting each symbol using the mapped transmitter-receiver neural network pair; and training at least some weights of the transmit and receive neural networks using a loss function for each transmitter-receiver neural network pair.

Embodiments are disclosed for a lookup table-based coding mechanism for communication systems. An example method includes receiving a signal to be transmitted, converting the signal into a converted analog signal using a digital to analog converter, receiving channel state information for a channel, calibrating the lookup table based on the channel state information, utilizing the calibrated lookup table to generate a coded analog signal based on the converted signal, and transmitting the coded analog signal, wherein the coded signal compensates for channel distortion of the channel.

Disclosed are a transmitter capable of cancelling simultaneous switching noise while ensuring low costs and a small area and a data transmission method in the same. The transmitter includes an encoder configured to convert input data of two levels (1 and 0) into data of three levels (+1, 0, and −1) and an output unit configured to output the data converted by the encoder. Here, the encoder adds 1 bit to the input data such that the number of bits corresponding to logic 1 becomes an even number. In addition, a specific correlation is established between currents or voltages corresponding to at least two levels of levels “+1”, “0”, and “−1” so that “+1” and “−1” corresponding to the logic 1 are alternately arranged and a current flowing through a power line or a ground line is constant regardless of the input data.

Disclosed are a transmitter capable of cancelling simultaneous switching noise while ensuring low costs and a small area and a data transmission method in the same. The transmitter includes an encoder configured to convert input data of two levels (1 and 0) into data of three levels (+1, 0, and −1) and an output unit configured to output the data converted by the encoder. Here, the encoder adds 1 bit to the input data such that the number of bits corresponding to logic 1 becomes an even number. In addition, a specific correlation is established between currents or voltages corresponding to at least two levels of levels “+1”, “0”, and “−1” so that “+1” and “−1” corresponding to the logic 1 are alternately arranged and a current flowing through a power line or a ground line is constant regardless of the input data.

This disclosure relates to a receiver comprising a clock and data recovery loop and a phase offset loop. The clock and data recovery loop may be controlled by a sum of gradients for a plurality of data interleaves. The phase offset loop may be controlled by an accumulated differential gradient for each of the data interleaves.