Programmable and Adaptive Analog Filters using Arrays of Floating-Gate Circuits

Matt Kucic, Paul Hasler, Jeff Dugger, and David Anderson

To appear at 19th Conference on Advanced Research in VLSI (ARVLSI01), Salt Lake City, UT, 14-16 March 2001


Abstract

In this paper we describe a programmable and adaptive filter based on floating-gate technology. We review the basics of floating-gate techniques, and how it enables building programmable and adaptive filters. We describe our programmable filter concepts, and show experimental results of its operation. We describe Programming methods, and extend the programmability beyond matrix-multiplications. Further, describe our techniques and custom programmer board for floating-gate programming of an IC. We show how to extend our programmable filters as adaptive filters both through weight perturbation methods and continuously adapting correlation rule methods.


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