Energy-efficient design of battery-powered embedded systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low power electronics and design
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Microwave Mobile Communications
Microwave Mobile Communications
Embedded Computation of Maximum-Likelihood Phylogeny Inference Using Platform FPGA
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
Implementing an OFDM Receiver on the RaPiD Reconfigurable Architecture
IEEE Transactions on Computers
A FPGA-based Viterbi algorithm implementation for speech recognition systems
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Reduced dimension space-time processing for multi-antenna wireless systems
IEEE Wireless Communications
Maximal-Ratio Eigen-Combining for Smarter Antenna Arrays
IEEE Transactions on Wireless Communications
IEEE Journal on Selected Areas in Communications
VLSI Design - Special issue on selected papers from the midwest symposium on circuits and systems
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Field-programmable gate arrays (FPGAs) are drawing ever increasing interest from designers of embedded wireless communications systems. They outpace digital signal processors (DSPs), through hardware execution of a wide range of parallelizable communications transceiver algorithms, at a fraction of the design and implementation effort and cost required for application-specific integrated circuits (ASICs). In our study, we employ an Altera Stratix FPGA development board, along with the DSP Builder software tool which acts as a high-level interface to the powerful Quartus II environment. We compare single- and multibranch FPGA-based receiver designs in terms of error rate performance and power consumption. We exploit FPGA operational flexibility and algorithm parallelism to design eigenmode-monitoring receivers that can adapt to variations in wireless channel statistics, for high-performing, inexpensive, smart antenna array embedded systems.