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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Regalia, Phillip A. |
| Copyright Year | 2002 |
| Description | Author affiliation: Department of Communications, Image and Information Processing, Institut National des Télécommunications, 9, rue Charles Fourier, 91011 Evry cedex France (Regalia, Phillip A.) |
| Abstract | A finite-interval constant modulus algorithm is developed which is vastly simpler than the Analytic Constant Modulus Algorithm and, unlike that algorithm, can claim to minimize a constant modulus criterion. It requires one QR decomposition of a data matrix, followed by a power iteration. Step size bounds which ensure monotonic convergence are obtained in analytic form, and proper tuning leads to an algorithm which converges typically within a few iterations. The algorithm thus gives a computationally feasible method for implementing constant modulus signal restoration in packet-based transmission systems. |
| File Size | 869624 |
| File Format | |
| ISBN | 0780374029 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2002.5745101 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-05-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Lead Artificial neural networks |
| Content Type | Text |
| Resource Type | Article |
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