A general framework for frequency domain multi-channel signal processing
- 1 July 1993
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 2 (3), 417-420
- https://doi.org/10.1109/83.236528
Abstract
The authors provide a general framework for performing processing of stationary multichannel (MC) signals that is linear shift-invariant within channel and shift varying across channels. Emphasis is given to the restoration of degraded signals. It is shown that, by utilizing the special structure of semiblock circulant and block diagonal matrices, MC signal processing can be easily carried out in the frequency domain. The generalization of many frequency-domain single-channel (SC) signal processing techniques to the MC case is presented. It is shown that in MC signal processing each frequency component of a signal and system is presented, respectively, by a small vector and a matrix (of size equal to the number of channels), while in SC signal processing each frequency component in both cases is a scalarKeywords
This publication has 9 references indexed in Scilit:
- Multichannel restoration of single channel images using a wavelet decompositionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Multichannel image identification and restoration based on the EM algorithm and cross-validationPublished by SPIE-Intl Soc Optical Eng ,1992
- Regularized multichannel restoration of color images using cross-validationPublished by SPIE-Intl Soc Optical Eng ,1992
- LMMSE restoration of blurred and noisy image sequencesPublished by SPIE-Intl Soc Optical Eng ,1991
- Least squares restoration of multichannel imagesIEEE Transactions on Signal Processing, 1991
- Restoration of color images by multichannel Kalman filteringIEEE Transactions on Signal Processing, 1991
- A multiple input image restoration approachJournal of Visual Communication and Image Representation, 1990
- Digital restoration of multichannel imagesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- Karhunen-Loeve multispectral image restoration, part I: TheoryIEEE Transactions on Acoustics, Speech, and Signal Processing, 1984