3 papers
eess.SY2018
Applicability and interpretation of the deterministic weighted cepstral distance
Oliver Lauwers, Bart De Moor
Quantifying similarity between data objects is an important part of modern data science. Deciding what similarity measure to use is very application dependent. In this paper, we co…
eess.SY2018
A Multiple-Input Multiple-Output Cepstrum
Oliver Lauwers, Oscar Mauricio Agudelo, Bart De Moor
This paper extends the concept of scalar cepstrum coefficients from single-input single-output linear time invariant dynamical systems to multiple-input multiple-output models, mak…
eess.SY2017
A time series distance measure for efficient clustering of input output signals by their underlying dynamics
Oliver Lauwers, Bart De Moor
Starting from a dataset with input/output time series generated by multiple deterministic linear dynamical systems, this paper tackles the problem of automatically clustering these…