A new blind image source separation algorithm based on feedback sparse component analysis-Reference-Cited by-同舟云学术

A new blind image source separation algorithm based on feedback sparse component analysis

Published:2013-01 Issue:1 Volume:93 Page:288-296
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Xian-chuan Yu,Jin-dong Xu,Dan Hu,Hai-hua Xing

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference20 articles.

1. P. Comon, C. Jutten, Handbook of Blind Source Separation: Independent Component Analysis and Applications, Academic Press is an Imprint of Elsevier, 2010, pp. 779–814.

2. L1–L2 optimization in signal and image processing;Zibulevsky;IEEE Signal Processing Magazine,2010

3. Uniqueness of complex and multidimentional independent component analysis;Theis;Signal Processing,2004

4. A. Cichocki, S. Amari, K. Siwek, T. Tanaka, A.H.P. et al, ICALAB Toolboxes, 〈http://www.bsp.brain.riken.jp/ICALAB〉.

5. Proceedings of the IEEE;Fadili;Image decomposition and separation using sparse representations: an overview,2010

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