Sensor Array Processor with Multichannel Reconstruction from Random Array Sampling: 9,015,007

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.