SCALABLE HIERARCHICAL SPARSE REPRESENTATIONS SUPPORTING PREDICTION, FEEDFORWARD BOTTOM-UP ESTIMATION, AND TOP-DOWN INFLUENCE FOR PARALLEL AND ADAPTIVE SIGNAL PROCESSING

摘要

A method and apparatus for parallel and adaptive signal reconstruction from a multitude of signal measurements. Algorithms and hardware are disclosed to denoise the measured signals, to compress the measured signals, and to reconstruct the signal from fewer measurements than standard state-of-the-art methods require. A parallel hardware design is disclosed in which the methods that are described can be efficiently executed.