Title :
A new window-length selecting method for singular spectrum Analysis
Author :
Wang Rui ; Ma Hongguang ; Zhu Xiaofei ; Liu Guoqing
Author_Institution :
Xi´an Res. Inst. of High Technol., Xi´an, China
Abstract :
Singular spectrum analysis (SSA) is a powerful method for separating source signals from the mixed signal. There is an important factor when we use SSA extracting each source signal, i.e. we should select a suitable window length for constructing the trajectory matrix. In this paper, we propose a new method of selecting the window length to reconstruct the trajectory matrix of mixed signal. The results indicate the effectiveness of our methods.
Keywords :
feature extraction; matrix algebra; signal reconstruction; source separation; spectral analysis; SSA; mixed signal reconstruction; singular spectrum analysis; source signal extraction; source signal separation; trajectory matrix; window-length selecting method; Correlation; Electronic mail; MATLAB; MIMO; Source separation; Spectral analysis; Trajectory; Singular spectrum analysis (SSA); blind source separation; trajectory matrix reconstruction;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
