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https://hdl.handle.net/2440/40045
Type: | Conference paper |
Title: | Optimal estimation of a random signal from partially missed data |
Author: | Torokhti, Anatoli Howlett, Phil Pearce, Charles Edward Miller |
Citation: | Proceedings of the 2006 European Signal Processing Conference [EUSIPCO 2006]. European Signal Processing Conference (2006 : Florence, Italy) |
Issue Date: | 2006 |
School/Discipline: | School of Mathematical Sciences : Applied Mathematics |
Statement of Responsibility: | Anatoli Torokhti, Phil Howlett and Charles Pearce |
Abstract: | We provide a new technique for random signal estimation under the constraints that the data is corrupted by random noise and moreover, some data may be missed. We utilize nonlinear filters defined by multi-linear operators of degree r, the choice of which allows a trade–off between the accuracy of the optimal filter and the complexity of the corresponding calculations. A rigorous error analysis is presented. |
Published version: | http://www.eurasip.org/Proceedings/Eusipco/Eusipco2006/papers/1568982108.pdf |
Appears in Collections: | Architecture publications |
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