Adaptive signal processing
Redundant Logarithmic Arithmetic
IEEE Transactions on Computers
A Hybrid Number System Processor with Geometric and Complex Arithmetic Capabilities
IEEE Transactions on Computers
A computational approach to VLSI analog design
Analog Integrated Circuits and Signal Processing - Joint special issue on analog VLSI computation
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Analog Integrated Circuits and Signal Processing - Special issue: translinear circuits
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Analog Integrated Circuits and Signal Processing - Special issue: translinear circuits
Translinear circuits using subthreshold floating-gate MOS transistors
Analog Integrated Circuits and Signal Processing - Special issue: translinear circuits
FOCUS microcomputer number system
Communications of the ACM
A Complementary Pair of Four-Terminal Silicon Synapses
Analog Integrated Circuits and Signal Processing
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IEEE Transactions on Computers
Efficient precise computation with noisy components: extrapolating from an electronic cochlea to the brain
IEEE Transactions on Computers
Integrated-Circuit Logarithmic Arithmetic Units
IEEE Transactions on Computers
Sign/Logarithm Arithmetic for FFT Implementation
IEEE Transactions on Computers
The Sign/Logarithm Number System
IEEE Transactions on Computers
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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.