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Sensor Array Processor with Multichannel Reconstruction from Random Array Sampling

Abstract: 

A method and system for reconstructing random samples taken across multiple sensors of a sensor array, so that each sensor's output is reconstructed. The samples are processed using a compressive sensing process. The compressive sensing process uses a time-space transform basis that represents the multi-channel data in terms of both a frequency component and an azimuthal component.

Patent Number: 
9,015,007
Date Of Issue: 
04/21/2015
Inventors: 

Ryan B. Casey; Christopher B. Smith