Applied digital signal processing courses offered at many universities do not normally include FPGA implementation of signal processing algorithms. This is due to the fact that st...
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
Several recent works have used neural networks to discriminate vigilance states in humans from electroencephalographic (EEG) signals. Our study aims at being more exhaustive. It t...
Advances in FPGA-based reconfigurable computers have made them a viable computing platform for a vast variety of computation demanding areas such as bioinformatics, speech recogni...
Probabilistic arithmetic, where the ith output bit of addition and multiplication is correct with a probability pi, is shown to be a vehicle for realizing extremely energy-efficie...
Jason George, B. Marr, Bilge E. S. Akgul, Krishna ...