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The area of wireless transceiver design is becoming increasingly important due to the rapid growth of wireless communications market as well as diversified design specifications. Research efforts in this area concentrates on schemes that are capable of increasing the system capacity, providing reconfigurability/reprogrammability and reducing the hardware complexity. This research adopts space diversity and statistical signal processing for digital interference suppression in wireless receivers. The signal processing technique used is Independent Component Analysis (ICA). Specifically, the fixed-point Fast-ICA is adopted in the case of static or slow time varying channel conditions. In highly dynamic environment that is typically encountered in mobile communications, a novel ICA algorithm is developed. The proposed interference suppression technique has the potential of simplifying the analog front-end by eliminating the anti-aliasing filters, and relaxing the requirements for Intermediate-Frequency (IF) bandpass filters and analog-to-digital converters. Several practical implementation issues are also considered.