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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Adali, T. Hualiang Li Aloysius, R. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, 21250, USA (Adali, T.; Hualiang Li; Aloysius, R.) |
| Abstract | Widely linear filters have been receiving much attention lately and have been proposed for many signal processing applications where the traditional circularity assumptions on the complex data do not hold. In this paper, we study the properties of the mean-square-error (MSE) widely linear filter and its least mean squares (LMS) adaptive implementation. We show that in certain cases, widely linear filter does not provide any additional advantage compared to the linear filter even with highly noncircular data. On the other hand, we show examples of cases where it can lead to important performance gains even when the input is circular. We also show that its performance can slow down significantly with highly noncircular inputs when it is implemented using an LMS type gradient descent algorithm thus making recursive least squares type adaptive implementations more desirable for an adaptive widely linear filter. |
| Starting Page | 876 |
| Ending Page | 881 |
| File Size | 2366967 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424427338 |
| DOI | 10.1109/CISS.2009.5054840 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Complex-valued signal processing adaptive filtering convergence Adaptive filters Nonlinear filters Adaptive signal processing widely linear Application software Least squares approximation Convergence Computer science LMS Magnetic separation Signal processing algorithms Signal processing |
| Content Type | Text |
| Resource Type | Article |
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