Examples described herein include methods, devices, and systems which compensates input data for I/Q imbalance or noise related thereto to generate compensated input data. In doing such the above compensation, during an uplink transmission time interval (TTI), a switch path is activated to provide converted input data to a receiver stage including a recurrent neural network (RNN). The RNN calculates an error representative of the noise based partly on the input signal to be transmitted and a feedback signal to generate filter coefficient data associated with the I/Q imbalance. The feedback signal is provided, after processing through the receiver, to the RNN. During an uplink TTI, the converted input data is transmitted as the RF wireless transmission via an RF antenna. During a downlink TTI, the switch path is deactivated and the receiver stage receives an additional RF wireless transmission to be processed in the receiver stage.

Embodiments of this application relate to the field of wireless communication technologies, and provide a signal processing method and an apparatus, to improve signal processing performance. In this method, a communication apparatus inputs N1 signal vectors to an input layer of a neural network for dimension increase processing, to obtain N2 high-dimensional signal vectors. The communication apparatus inputs the N2 high-dimensional signal vectors to an interaction layer of the neural network, to obtain a feature between the N2 high-dimensional signal vectors and a feature of each high-dimensional signal vector. The communication apparatus inputs the feature between the N2 high-dimensional signal vectors and the feature of each high-dimensional signal vector to an output layer of the neural network for an operation, to obtain an output signal vector.