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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hasan, M.A. Azimi-Sadjadi, M.R. |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Minnesota Univ., Duluth, MN, USA (Hasan, M.A.) |
| Abstract | Wiener filter is an important tool in many signal processing applications. This paper proposes a fast inverse free method based on mean-square-error (MSE) criterion for the design of Wiener filters when both the given signal and the desired signal are wide-sense stationary random processes. Specifically, we present several approaches for tracking Wiener filter using gradient descent, line search, and adaptive methods. A new framework for computing the full rank Wiener filter and order update for reduced rank Wiener filter serially is presented. Emphasis is placed on methods that require least amount of matrix inversion including Rayleigh Quotient like methods. Simulations are also presented to examine the performance of the proposed methods. |
| Sponsorship | IEEE Circuits & Syst. Soc Mahanakorn Univ. Technol |
| File Size | 329597 |
| File Format | |
| ISBN | 0780377613 |
| DOI | 10.1109/ISCAS.2003.1205768 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-05-25 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wiener filter Signal processing Signal processing algorithms Covariance matrix Noise cancellation Echo cancellers Signal design Random processes Additive noise Deconvolution |
| Content Type | Text |
| Resource Type | Article |
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