Matrix Designs and Methods for Secure and Efficient Compressed Sensing (2015)
Abstract / truncated to 115 words
The idea of balancing the resources spent in the acquisition and encoding of natural signals strictly to their intrinsic information content has interested nearly a decade of research under the name of compressed sensing. In this doctoral dissertation we develop some extensions and improvements upon this technique’s foundations, by modifying the random sensing matrices on which the signals of interest are projected to achieve different objectives. Firstly, we propose two methods for the adaptation of sensing matrix ensembles to the second-order moments of natural signals. These techniques leverage the maximisation of different proxies for the quantity of information acquired by compressed sensing, and are efficiently applied in the encoding of natural signals with minimum complexity ... toggle 4 keywordscompressed sensing – signal processing – security – signal compression
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