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Published Articles >> Table of Contents >> Abstract
20th Anniversary Conference on Advanced Research in VLSI
p. 186
Translinear Analog Signal Processing: A Modular Approach to Large-Scale Analog Computation with Multiple-Input Translinear Elements
Bradley A. Minch, Cornell University
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ARVLSI.1999.756048
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I describe a general framework, called translinear analog signal processing (TASP), for implementing continuous-time analog signal processing systems that have a wide dynamic range and can operate with a low power-supply voltage. Such analog signal processing systems are highly modular, comprising only grounded capacitors, constant current sources, and simple circuit primitives called multiple-input translinear elements (MITEs). Moreover, the behavior of a TASP system is well described in terms of commonly used linear and nonlinear signal processing functions. Consequently, these systems should be highly amenable to behavioral-level descriptions and to computer-aided design automation techniques. I briefly discuss the operation of MITEs and their circuit implementation. I describe the two classes of MITE circuits, MITE networks and MITE log-domain filters, that together make up the TASP frame-work and I show experimental data from a basic circuit from each class. I then illustrate how we can interface these circuits in a seamless fashion to build large-scale TASP systems. Finally, I discuss the possibility of building adaptive and reconfigurable TASP systems.
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Citation:
Bradley A. Minch,
"Translinear Analog Signal Processing: A Modular Approach to Large-Scale Analog Computation with Multiple-Input Translinear Elements,"
arvlsi,
p. 186,
20th Anniversary Conference on Advanced Research in VLSI,
1999
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