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This abstract address the problem of removing step artifacts from a predominantly low-pass signal. In particular, we consider the case where the step artifacts have an appreciable rise time rather than exhibiting instantaneous step discontinuities. The problem arises in certain physiological measurements, such as near infrared spectroscopic (NIRS) time-series imaging. NIRS is an attractive non-invasive...
This paper addresses the suppression of transient artifacts in signals, e.g., biomedical time series. To that end, we distinguish two types of artifact signals. We define “Type 1” artifacts as spikes and sharp, brief waves that adhere to a baseline value of zero. We define “Type 2” artifacts as comprising approximate step discontinuities. We model a Type 1 artifact as being sparse and having a sparse...
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