Embedded Signal Processing in Impedance Spectroscopy

Abstract

Methods for reducing the complexity of both - signal processing algorithms and hardware solutions - are proposed for performing the fast impedance spectroscopy in dynamic conditions. Minimal computational resources and low power consumption are the prerequisites for applications in embedded systems. Simple techniques for both - synthesizing of excitation waveforms and processing of response signals - are developed. Only a few-level quantization of signals is implemented and their normalized levels as +1, -1, and 0 are preferred.