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ORCIDAndrew C. McCormick
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2020 – today
- 2023
[j5]Stefan Brennsteiner
, Tughrul Arslan, John S. Thompson, Andrew C. McCormick:
LAMANet: A Real-Time, Machine Learning-Enhanced Approximate Message Passing Detector for Massive MIMO. IEEE Trans. Very Large Scale Integr. Syst. 31(3): 382-395 (2023)- 2022
- [j4]Stefan Brennsteiner, Tughrul Arslan, John Thompson, Andrew C. McCormick:
A Real-Time Deep Learning OFDM Receiver. ACM Trans. Reconfigurable Technol. Syst. 15(3): 26:1-26:25 (2022) - [c7]Stefan Brennsteiner, Tughrul Arslan, John S. Thompson, Andrew C. McCormick:
A machine learning enhanced approximate message passing massive MIMO accelerator. AICAS 2022: 443-446
2000 – 2009
- 2002
- [j3]Andrew C. McCormick, John S. Thompson, Peter M. Grant, Tughrul Arslan, Ahmet T. Erdogan:
Implementation of a sic based MC-CDMA base station receiver. Eur. Trans. Telecommun. 13(5): 513-518 (2002) - [c6]Peter M. Grant, Andrew C. McCormick, John S. Thompson, Tughrul Arslan, Ahmet T. Erdogan:
Optimising the implementation of a FFT-based multicarrier CDMA receiver. EUSIPCO 2002: 1-4 - 2001
- [c5]Andrew C. McCormick, Peter M. Grant, John S. Thompson:
Walsh coding across multiple antennas for high data rate wireless services. ICASSP 2001: 2449-2452 - [c4]Andrew C. McCormick, Peter M. Grant, John S. Thompson, Tughrul Arslan, Ahmet T. Erdogan:
A low power MMSE receiver architecture for multi-carrier CDMA. ISCAS (4) 2001: 41-44 - 2000
- [j2]Andrew C. McCormick, Peter M. Grant, Gordon Povey:
A differential phase-shift keying multicarrier code division multiple access system with an equal gain combining receiver. IEEE Trans. Veh. Technol. 49(5): 1907-1917 (2000) - [c3]Andrew C. McCormick, Peter M. Grant, John S. Thompson:
An equal gain combining DPSK MC-CDMA system for fast fading mobile downlink channels. EUSIPCO 2000: 1-4 - [c2]Andrew C. McCormick, Peter M. Grant, John S. Thompson:
A comparison of convolutional and Walsh coding in OFDM wireless LAN systems. PIMRC 2000: 166-169
1990 – 1999
- 1997
- [j1]Andrew C. McCormick, Asoke K. Nandi:
Real-time classification of rotating shaft loading conditions using artificial neural networks. IEEE Trans. Neural Networks 8(3): 748-757 (1997) - [c1]Andrew C. McCormick, Asoke K. Nandi:
Neural network autoregressive modeling of vibrations for condition monitoring of rotating shafts. ICNN 1997: 2214-2218
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