A new eigenvector-based algorithm for multichannel blind deconvolution of input colored signals
- 1 January 1993
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 4, 448-451 vol.4
- https://doi.org/10.1109/icassp.1993.319691
Abstract
The development of a new algorithm is presented for the deconvolution of an unknown, possibly colored signal which is observed through two or more unknown channels described by rational system transfer functions. It is assumed that the channel orders as well as the root locations are unknown. The proposed algorithm starts with over-estimated channel orders and iteratively reduces them. The root locations are simultaneously estimated. This algorithm may also be used in multichannel system identification problems.Keywords
This publication has 3 references indexed in Scilit:
- Modular and numerically stable fast transversal filters for multichannel and multiexperiment RLSIEEE Transactions on Signal Processing, 1992
- Numerically stable fast transversal filters for recursive least squares adaptive filteringIEEE Transactions on Signal Processing, 1991
- Fast, recursive-least-squares transversal filters for adaptive filteringIEEE Transactions on Acoustics, Speech, and Signal Processing, 1984