Analog system for computing sparse codes

Abstract

A parallel dynamical system for computing sparse representations of data, i.e., where the data can be fully represented in terms of a small number of non-zero code elements, and for reconstructing compressively sensed images. The system is based on the principles of thresholding and local competition that solves a family of sparse approximation problems corresponding to various sparsity metrics. The system utilizes Locally Competitive Algorithms (LCAs), nodes in a population continually compete with neighboring units using (usually one-way) lateral inhibition to calculate coefficients representing an input in an over complete dictionary.

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Rozell, Christopher John, Johnson, Don H., Baraniuk, Richard G., Olshausen, Bruno A. and Ortman, Robert Lowell, "Analog system for computing sparse codes." Patent US7783459B2. issued 2010-08-24. Retrieved from https://hdl.handle.net/1911/80031.

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