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- 1DOA estimation
- 1Multidimensional signal processing
- 1Permutation
- 1Spectrum estimation
- 1Sub-Nyquist sampling
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Parallel Sampling and Reconstruction with Permutation in Multidimensional Compressed Sensing
DownloadFall 2013
The advent of compressed sensing provides a new way to sample and compress signals. In this thesis, a parallel compressed sensing architecture is proposed, which samples a two-dimensional reshaped multidimensional signal column by column using the same sensing matrix. Compared to architectures...
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Parameter Estimation in Low-Rank Models from Small Sample Size and Undersampled Data: DOA and Spectrum Estimation
DownloadSpring 2015
In estimation theory, a set of parameters are estimated from a finite number of measurements (samples). In general, the quality of estimation degrades as the number of samples is reduced. In this thesis, the problem of parameter estimation in low-rank models from a small number of samples is...