6533b86dfe1ef96bd12ca898
RESEARCH PRODUCT
A robust approach to ERP denoising
Heikki LyytinenTapani RistaniemiTommi KärkkäinenAndriy Ivannikovsubject
business.industryRobustness (computer science)Noise reductionPattern recognitionArtificial intelligencebusinessSubspace topologyMathematicsdescription
The purpose of presented study is to explore possibilities to increase the robustness and improve the performance of the spatial ERP denoising methods proposed in earlier research. The quality of the subspace separation solution may easily be degraded essentially, if the underlying assumptions become noticeably violated, which is a normal situation in practice. The distortions to the results of a separation are caused by non-zero sample signal-noise and noise-noise correlations, which are indistinguishable from the variances of the signal and noise in the framework of the second-order statistical information exploited by the discussed methods. Therefore, in the research reported in this article we concentrate our efforts on finding the means that allow to reduce the erroneous influence of undesirable correlations on the performance of the discussed denoising methods.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2010-05-01 | 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010) |