Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase Systems
Zhang, Liqing, Amari, Shun-ichi, Cichocki, Andrzej
–Neural Information Processing Systems
In this paper we discuss the semi parametric statistical model for blind deconvolution. First we introduce a Lie Group to the manifold of noncausal FIR filters. Then blind deconvolution problem is formulated in the framework of a semiparametric model, and a family of estimating functions is derived for blind deconvolution. A natural gradient learning algorithm is developed for training noncausal filters. Stability of the natural gradient algorithm is also analyzed in this framework.
Neural Information Processing Systems
Dec-31-2000
- Country:
- Asia > Japan (0.14)
- Europe > France (0.14)
- North America > United States
- Wisconsin (0.14)
- Oceania > Australia (0.14)
- Technology: