Statistical acquisition for embedded instrumentation
A.A. de Souza, Luigi Carro · 2004
This work presents a methodology to acquire data from embedded sensors with a low impact on the analog area, suited to modern digital technologies. A parallel strategy is proposed where the basic blocks can use redundancy to cope with highly variable digital technologies. Statistics sampling with several uncorrelated noise references through one-bit comparators is used. Self configuration allows a robust process. Theoretical data and measurement results are shown, validating the proposed approach.