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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lie, S.R. Leyman, A.R. Yong Huat Chew |
| Copyright Year | 2007 |
| Description | Author affiliation: Inst. for Infocomm Res., Singapore (Lie, S.R.; Leyman, A.R.; Yong Huat Chew) |
| Abstract | This paper proposes a new blind source separation (BSS) technique for underdetermined MIMO system using space-time-frequency distributions. The sparseness in time-frequency domain is exploited for underdetermined BSS. The paper also proposed a new detection technique for auto sources time-frequency points, which is incorporated into the BSS technique. The proposed BSS technique applicable to the situations where sources' time-frequency signatures overlap at certain points in the time-frequency plane and even in situations where there are sources with multicomponent signals. In these situations, where time-frequency planes cannot be partitioned (masked) into groups of fewer or equal number sources than antennas, the existing overdetermined time-frequency BSS techniques could not be applied. Simulation results are included to show its effectiveness. |
| File Size | 207240 |
| File Format | |
| ISBN | 1424407273 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2007.366842 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Source separation Time frequency analysis Blind source separation MIMO Clustering algorithms Computational efficiency Signal processing Receiving antennas Antenna arrays Speech processing underdetermined system Time-frequency distributions blind sources separation MIMO systems |
| Content Type | Text |
| Resource Type | Article |
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