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Support Recovery from Linear Measurements: Tradeoffs in the Measurement-Constrained Regime
In this thesis, we study problems under the theme of discovering joint sparsity structure in a set of high-dimensional data samples from linear measurements. Our primary focus is on the regime where the number of samples ...
Capacity Computation and Coding for Input-Constrained Channels
The setting of the transmission of information over noisy, binary-input, memoryless channels is today well-understood, owing to the work of several information theorists, beginning with Claude Shannon. It is known that it ...