The HHT represents a time-dependent series in a two-dimensional (2-D) time-frequency domain by extracting instan eous frequency components within the signal through an Empirical Mode Decomposition (EMD) process. The analytical background of t

本文提出了一种新的自动换合成孔径雷达（SAR）时间序列检测技术，即广义有序序列分析方法。-This paper presents a new automatic change de- tection technique for synthetic aperture radar (SAR) time se- ries, i.e., Method for generalIzed Means Ordered Series Analysis (MIMOSA). The method comp

The code performs the simulation of time series with autoregressive fractionally integrated moving average (ARFIMA) models that generalize ARIMA (autoregressive integrated moving average) and ARMA autoregressive moving average models. ARFIMA models a