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- W1844844660 abstract "We show that compressive sensing (CS) applied to time delay estimation (TDE) simultaneously enables a reduction in the sampling frequency and preserves good estimation precision. With CS, we seek to recover signals and parameters from an under-determined system of linear equations by assuming sparsity in a known dictionary. A common problem in CS is that the observed signals may not be sparsely representable in the dictionary. This problem also occurs in TDE as the delay parameter is a continuous parameter. We remedy this issue by combining CS with interpolation." @default.
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- W1844844660 date "2013-12-01" @default.
- W1844844660 modified "2023-10-16" @default.
- W1844844660 title "Compressive time delay estimation using interpolation" @default.
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- W1844844660 doi "https://doi.org/10.1109/globalsip.2013.6736961" @default.
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