A fast fixed-point algorithm for independent component analysis
Neural Computation
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Topographic Independent Component Analysis
Neural Computation
Advanced methods for I/Q imbalance compensation in communicationreceivers
IEEE Transactions on Signal Processing
IEEE Communications Magazine
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In this paper, a novel Independent Component Analysis (ICA) algorithm is proposed with application to interference suppression in diversity receivers. For mobile and wireless communications, the new technique is an efficient baseband digital interference rejection method that results in simplified analog front-end. Simulations are performed for BPSK receivers assuming time-varying conditions. The results confirm the effectiveness of the presented technique. Also, the new technique is applicable in the presence of thermal noise.