Abstract | ||
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The linearly constrained minimum variance (LCMV) method, which allows multiple linear constraints, is an extension of the classical minimum variance distortionless response filter. Depending on the spatial filter length and the desired frequency grid, a direct computation of the resulting spatial beam pattern may be prohibitive. This brief exploits the rich structure of the LCMV expression to find... |
Year | DOI | Venue |
---|---|---|
2006 | 10.1109/TCSII.2006.882228 | IEEE Transactions on Circuits and Systems II: Express Briefs |
Keywords | Field | DocType |
Signal processing algorithms,Frequency,Grid computing,Array signal processing,Biomedical signal processing,Sensor arrays,Spatial resolution,Signal resolution,Digital signal processing,Interference constraints | Minimum-variance unbiased estimator,Electronic engineering,Woodbury matrix identity,Fast Fourier transform,Adaptive filter,Beam pattern,Frequency grid,Mathematics,Computation,Spatial filter | Journal |
Volume | Issue | ISSN |
53 | 10 | 1549-7747 |
Citations | PageRank | References |
4 | 0.49 | 5 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andreas Jakobsson | 1 | 409 | 43.32 |
S. R. Alty | 2 | 28 | 6.44 |
S. Lambotharan | 3 | 102 | 10.35 |