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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sameni, R. Jutten, C. Shamsollahi, M.B. |
| Copyright Year | 1991 |
| Abstract | A general deflation framework is described for the separation of a desired signal subspace of arbitrary dimensions from noisy multichannel observations. The method simultaneously uses single and multichannel priors to split the desired and undesired subspaces, even for coplanar (intersecting) subspaces. By appropriate use of signal priors, it can even extract signals from degenerate mixtures of signals and noise recorded from a few number of channels in low SNR scenarios, without the reduction of the data dimensions. As a case study, the performance of the proposed method is studied for the problem of extracting fetal cardiac signals from maternal abdominal recordings, over simulated and real data. A second case study deals with the degenerate problem of extracting diaphragmatic electromyogram from electrocardiograph artifacts. A provisional patent application based on this method has been filed. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 2363 |
| Ending Page | 2374 |
| Page Count | 12 |
| File Size | 1068163 |
| File Format | |
| ISSN | 1053587X |
| Volume Number | 58 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data mining Source separation Noise reduction Signal to noise ratio Signal processing algorithms Data models Laboratories Interference Abdomen Filtering subspace Deflation nonlinear filtering nonstationarity periodicity prior rank preservation Rayleigh quotient signal denoising |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering |
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