Andrew C. McCormick

12 papers B 1Misc 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
LAMANet: A Real-Time, Machine Learning-Enhanced Approximate Message Passing Detector for Massive MIMO.
IEEE Trans. Very Large Scale Integr. Syst.
Stefan Brennsteiner, Tughrul Arslan, John S. Thompson, Andrew C. McCormick
2022 J jnl
A Real-Time Deep Learning OFDM Receiver.
ACM Trans. Reconfigurable Technol. Syst.
Stefan Brennsteiner, Tughrul Arslan, John Thompson, Andrew C. McCormick
2022 — conf
A machine learning enhanced approximate message passing massive MIMO accelerator.
AICAS
Stefan Brennsteiner, Tughrul Arslan, John S. Thompson, Andrew C. McCormick
2002 J jnl
Implementation of a sic based MC-CDMA base station receiver.
Eur. Trans. Telecommun.
Andrew C. McCormick, John S. Thompson, Peter M. Grant, Tughrul Arslan, Ahmet T. Erdogan
2002 — conf
Optimising the implementation of a FFT-based multicarrier CDMA receiver.
EUSIPCO
Peter M. Grant, Andrew C. McCormick, John S. Thompson, Tughrul Arslan, Ahmet T. Erdogan
2001 — conf
A low power MMSE receiver architecture for multi-carrier CDMA.
ISCAS (4)
Andrew C. McCormick, Peter M. Grant, John S. Thompson, Tughrul Arslan, Ahmet T. Erdogan
2001 Misc conf
Walsh coding across multiple antennas for high data rate wireless services.
ICASSP
Andrew C. McCormick, Peter M. Grant, John S. Thompson
2000 B conf
A comparison of convolutional and Walsh coding in OFDM wireless LAN systems.
PIMRC
Andrew C. McCormick, Peter M. Grant, John S. Thompson
2000 J jnl
A differential phase-shift keying multicarrier code division multiple access system with an equal gain combining receiver.
IEEE Trans. Veh. Technol.
Andrew C. McCormick, Peter M. Grant, Gordon Povey
2000 — conf
An equal gain combining DPSK MC-CDMA system for fast fading mobile downlink channels.
EUSIPCO
Andrew C. McCormick, Peter M. Grant, John S. Thompson
1997 — conf
Neural network autoregressive modeling of vibrations for condition monitoring of rotating shafts.
ICNN
Andrew C. McCormick, Asoke K. Nandi
1997 J jnl
Real-time classification of rotating shaft loading conditions using artificial neural networks.
IEEE Trans. Neural Networks
Andrew C. McCormick, Asoke K. Nandi