Analog Sensing Front-End System for Harmonic Signal Classification

Authors

Daniel J. White, University of Nebraska-LincolnFollow
Peter William, University of Nebraska-LincolnFollow
Michael W. Hoffman, University of Nebraska-LincolnFollow
Sina Balkir, University of Nebraska-LincolnFollow
Nathan Schemm, Texas Instruments Inc.Follow

Date of this Version

2012

Citation

2012 IEEE International Symposium on Circuits and Systems (ISCAS); doi: 10.1109/ISCAS.2012.6271437

Comments

Copyright 2012 IEEE

Abstract

This paper presents the design of an Analog-to- Information spectral decomposition scheme suitable for parallel low-power analog and mixed-signal VLSI implementation. The novel scheme extracts sufficient information to achieve good back end signal detection and classification performance while using less power than purely digital spectral techniques such as FFT. Simulations of a prototype system in a mixed-signal 130nm CMOS process show a feasible solution space given an on-line self-calibrating system.