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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yili Xia Took, C.C. Javidi, S. Mandic, D.P. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, SW7 2BT, U.K. (Yili Xia; Took, C.C.; Javidi, S.; Mandic, D.P.) |
| Abstract | A widely linear affine projection algorithm (WL-APA) utilising the full second order statistical information in the complex domain ℂ is proposed. It is based on recent developments in augmented complex statistics, ℂℝ calculus, and the widely linear modelling in ℂ, making it suitable for the processing of noncircular complex valued signals. Simulations on circular and noncircular benchmark and real-world noncircular wind signals show the effectiveness of WL-APA as compared to standard APA. |
| Starting Page | 373 |
| Ending Page | 376 |
| File Size | 972326 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424427093 |
| e-ISBN | 9781424427116 |
| DOI | 10.1109/SSP.2009.5278562 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-31 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Projection algorithms Statistics Signal processing algorithms Covariance matrix Resonance light scattering Adaptive filters Filtering algorithms Convergence Educational institutions Chromium augmented CLMS (ACLMS) Widely linear modelling affine projection algorithm complex-valued noncircular signals augmented complex statistics |
| Content Type | Text |
| Resource Type | Article |
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