Efficient Solutions for Discreteness, Drift, and Disturbance (3D) in Electronic Olfaction
作者： Lei Zhang , David Zhang
DOI: 10.1109/TSMC.2016.2597800
关键词:
摘要: In this paper, we aim at presenting the new challenges of electronic noses (E-noses) and proposing effective methods for handling the new challenging scientific issues to be solved, such as signal discreteness (reproducibility), systematical drift and nontarget disturbances. We first review the progress of E-noses in applications, systems, and algorithms during the past two decades. Recall a number of significant achievements and motivated by the current issues that hinder large-scale application pace of E-nose technology, we propose to …
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