Projection-based rank reduction algorithms for multichannel modelling and image compression

被引:7
作者
Dologlou, I [1 ]
Pesquet, JC [1 ]
Skowronski, J [1 ]
机构
[1] UNIV PARIS SUD,CNRS,SIGNAUX & SYST LAB,F-91192 GIF SUR YVETTE,FRANCE
关键词
multichannel modelling; rank reduction; 2D spectral analysis; successive projection algorithms; image compression;
D O I
10.1016/0165-1684(95)00127-1
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a methodology for designing linear models for multichannel signals. Despite the interest of conventional approaches, these methods are not always well adapted to spectral estimation and enhancement via global rank reduction techniques. It is shown that these problems may however be solved by the new design algorithm proposed here, which also provides a decomposition in terms of the eigencomponents of the multichannel signal. Morever, some convergence properties of the rank reduction algorithm are discussed and its use in the more general multichannel setting is presented. Finally, an efficient scheme for image compression is outlined which is based on the combined use of the new modelling technique and the rank reduction algorithm.
引用
收藏
页码:97 / 109
页数:13
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