by Nina Golyandina, Anton Korobeynikov, Anatoly Zhigljavsky
Springer, 2018.
Front Matter (includes Preface)
and Back Matter
Singular Spectrum Analysis (SSA) is a well-known methodology of analysis and forecasting of time series and, since quite recently, of digital images and other objects which are not necessarily of planar or rectangular shape and may contain gaps.
This book has the following goals: