Title :
Eigenvector Algorithms for Blind Deconvolution of MIMO-IIR Systems
Author :
Kawamoto, Masashi
Author_Institution :
National Inst. of Adv. Ind. Sci. & Technol., Ibaraki
Abstract :
This paper presents eigenvector algorithms (EVAs) for blind deconvolution (BD) of multiple-input multiple-output infinite impulse response (MIMO-IIR) channels (convolutive mixtures). Using the idea of reference signals, the EVA is derived. Differently from the conventional researches on EVAs, one of the novel points of the paper is that the EVA using any reference signal is applied to the BD problem of the MIMO-IIR system, and then the validity of the EVA is shown.
Keywords :
IIR filters; MIMO systems; blind source separation; deconvolution; eigenvalues and eigenfunctions; MIMO-IIR systems; blind deconvolution; convolutive mixtures; eigenvector algorithms; multiple input multiple output infinite impulse response; reference signals; Blind source separation; Deconvolution; Electrical equipment industry; Electronics industry; Industrial control; Industrial electronics; MIMO; Signal processing; Signal processing algorithms; Source separation;
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
DOI :
10.1109/ISCAS.2007.378378
