loading...
Translinear Analog Signal Processing: A Modular Approach to Large-Scale Analog Computation with Multiple-Input Translinear Elements
Atlanta, Georgia March 21-March 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ARVLSI.1999.75604820th Anniversary Conference on Advanc ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Bradley A. Minch, Cornell University
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.
Citation:
Bradley A. Minch, "Translinear Analog Signal Processing: A Modular Approach to Large-Scale Analog Computation with Multiple-Input Translinear Elements," arvlsi, pp.186, 20th Anniversary Conference on Advanced Research in VLSI, 1999
Usage of this product signifies your acceptance of the Terms of Use.