DocumentCode
1645409
Title
Analog Logic Automata
Author
Chen, Kailiang ; Leu, Jonathan ; Gershenfeld, Neil
Author_Institution
Center for Bits & Atoms, Massachusetts Inst. of Technol., Boston, MA
fYear
2008
Firstpage
189
Lastpage
192
Abstract
Analog logic circuits work on digital problems using an analog representation of the digital variables, relaxing the state space of the digital system from the vertices of a hypercube to the interior. This lets us gain speed, power, and accuracy over digital implementations. Logic automata are distributed, scalable and programmable digital computation media with local connections and logic operations. Here we propose analog logic automata (ALA), which relax binary constraints on logic automata states and introduce programmability into analog logic circuits. The localized interaction and scalability of the ALA provide a new way to do neuromorphic engineering, enabling systematic designs in a digital work flow. Low-power, biomedical, decoding and communication applications are described and a 3times3 ALA chip is prototyped, which works at 50 kHz, with a power consumption of 64 muW. With the chip configured as a programmable noise-locked loop (NLL), we obtain a bit error rate (BER) of 1E-7 at an SNR of -1.13 dB.
Keywords
analogue circuits; error statistics; logic circuits; programmable circuits; BER; SNR; analog logic automata; analog logic circuits; bit error rate; digital work flow; frequency 50 kHz; neuromorphic engineering; power 64 muW; programmable noise-locked loop chip; Automata; Bit error rate; Digital systems; Distributed computing; Hypercubes; Logic circuits; Neuromorphic engineering; Power engineering computing; Scalability; State-space methods; Analog Logic; Logic Automata; Noise-Locked Loop; biomedical; image processing; low-power; programmable; wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Circuits and Systems Conference, 2008. BioCAS 2008. IEEE
Conference_Location
Baltimore, MD
Print_ISBN
978-1-4244-2878-6
Electronic_ISBN
978-1-4244-2879-3
Type
conf
DOI
10.1109/BIOCAS.2008.4696906
Filename
4696906
Link To Document