Blind identification of multi-channel ARMA models based on second-order statistics
This correspondence presents a new second-order statistical approach to blind identification of single-input multiple-output (SIMO) autoregressive and moving average (ARMA) system models. The proposed approach exploits the dynamical autoregressive information of the model contained in the autocorrel...
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Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/99174 http://hdl.handle.net/10220/13503 |
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Institution: | Nanyang Technological University |
Language: | English |
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