Cooperative Analog and Digital Signal Processing :
Georgia Institute of Technology
Distributed Arithmetic Adaptive Filters
The use of parallelism found in distributed arithmetic enables us to create high throughput adaptive filters with large filter tap sizes. The unique structure of the distributed arithmetic adaptive filter allows us to scale multiple factors that include bit-resolution and filter tap size.
A system using CMOS bio-inspired circuits has successfully joined artificial and living neurons. Here, using silicon synapses, an artificial neuron sits between two living neurons allowing real-time communication and processing abilities.
Probabilistic Computing and Dynamic Systems
Probabilistic computing enables improved efficiency in many application areas, especially dynamical systems simulation and signal processing. This project explores new methods of scientific computing that benefit from randomness and efficiency.
Field-Programmable Analog Arrays (FPAA)
Floating-gate transistor technology enables large-scale programmable and reconfigurable analog systems of 4 to 40 times greater complexity than commercial devices. FPAAs aim to do for analog processing what FPGAs did for digital processing.
A mixture of bio-inspired focal plane processing and highly integrated analog systems allow for a merging of sensing and processing which replace operations normally done in the digital realm, but a fraction of the size and power.
Synthesis of Multiple Input Translinear Element (MITE) Networks and Implementaions Using Reconfigurable Architectures
Biologically Inspired Audio Signal Processing Using Programmable Analog Circuitry
Last updated : July 9, 2009