مشخصات پژوهش

عنوان	تعمیم چند متغیره و دوبعدی تحلیل تکینی طیفی
نوع پژوهش	پایان‌نامه
کلیدواژه‌ها	Singular spectrum analysis, time series, image processing, forecasting, decomposition
چکیده	In this dissertation, the first general algorithm of singular spectrum analysis (SSA) is introduced as a nonparametric method in time series analysis, and then the generalizations of a multivariable SSA method are presented (MSSA). The generalization of this method to the two-dimensional mode (2D-SSA) and the mode that can be used to analyze images with any arbitrary shape (ShSSA) is also investigated. It is also shown that the ShSSA method is a generalization which includes any other generalization of the SSA method as a specific case. In each of the above generalizations, it attempt to apply the mentioned methods in real data and simulation studies to demonstrate the efficiency of the methods.
پژوهشگران	رضوان خدادادی (دانشجو)، حسین حق بین (استاد راهنما)، احمد کشاورز (استاد مشاور)