COMPRESSIVE SENSING BY RANDOM CONVOLUTION JUSTIN ROMBERG Abstract

This paper outlines a new framework for compressive sensing convolution with a random waveform followed by random time domain subsampling We show that sensing by random convolution is a universally e64259cient data acquisition strategy in that an di

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