Abstract
Signal decomposition is in large part concerned with recovering the underlying structure of the signal of interest. This subject has been studied extensively in the literature and holds an important place in the biomedical signal processing field as most signal processing problems in this arena defy the simple signal plus AWGN model. When such a model is violated, one must be concerned with the recovery of multiple signals which may be present in an observed waveform. In the previous sections and chapters of this text, we have come to learn that biological signals very often are comprised of several signals, each perhaps of clinical significance. Hence, the ability to recover the individual components of the signal is of paramount importance here.
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© 2015 Springer-Verlag Berlin Heidelberg
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Kiasaleh, K. (2015). Signal Decomposition Methods. In: Biological Signals Classification and Analysis. Lecture Notes in Bioengineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54879-6_5
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DOI: https://doi.org/10.1007/978-3-642-54879-6_5
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54878-9
Online ISBN: 978-3-642-54879-6
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