Neural network autoregressive modeling of vibrations for condition monitoring of rotating shafts. - Andrew C. McCormick; Asoke K. Nandi (ICNN, 1997)

Real-time classification of rotating shaft loading conditions using artificial neural networks. - Andrew C. McCormick; Asoke K. Nandi (IEEE Trans. Neural Networks, 1997)

An equal gain combining DPSK MC-CDMA system for fast fading mobile downlink channels. - Andrew C. McCormick; Peter M. Grant; John S. Thompson (EUSIPCO, 2000)

A comparison of convolutional and Walsh coding in OFDM wireless LAN systems. - Andrew C. McCormick; Peter M. Grant; John S. Thompson (PIMRC, 2000)

A differential phase-shift keying multicarrier code division multiple access system with an equal gain combining receiver. - Andrew C. McCormick; Peter M. Grant; Gordon Povey (IEEE Trans. Veh. Technol., 2000)

Walsh coding across multiple antennas for high data rate wireless services. - Andrew C. McCormick; Peter M. Grant; John S. Thompson (ICASSP, 2001)

A low power MMSE receiver architecture for multi-carrier CDMA. - Andrew C. McCormick; Peter M. Grant; John S. Thompson; Tughrul Arslan; Ahmet T. Erdogan (ISCAS (4), 2001)

Optimising the implementation of a FFT-based multicarrier CDMA receiver. - Peter M. Grant; Andrew C. McCormick; John S. Thompson; Tughrul Arslan; Ahmet T. Erdogan (EUSIPCO, 2002)

Implementation of a sic based MC-CDMA base station receiver. - Andrew C. McCormick; John S. Thompson; Peter M. Grant; Tughrul Arslan; Ahmet T. Erdogan (Eur. Trans. Telecommun., 2002)

A machine learning enhanced approximate message passing massive MIMO accelerator. - Stefan Brennsteiner; Tughrul Arslan; John S. Thompson; Andrew C. McCormick (AICAS, 2022)

A Real-Time Deep Learning OFDM Receiver. - Stefan Brennsteiner; Tughrul Arslan; John Thompson 001; Andrew C. McCormick (ACM Trans. Reconfigurable Technol. Syst., 2022)

LAMANet: A Real-Time, Machine Learning-Enhanced Approximate Message Passing Detector for Massive MIMO. - Stefan Brennsteiner; Tughrul Arslan; John S. Thompson; Andrew C. McCormick (IEEE Trans. Very Large Scale Integr. Syst., 2023)