Applications of Sparse Representation and Compressive Sensing [Scanning the Issue]

Sparse representation and compressive sensing establishes a more rigorous mathematical framework for studying high-dimensional data and ways to uncover the structures of the data, giving rise to a large repertoire of efficient algorithms. A sparse signal is a signal that can be represented as a line...

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Veröffentlicht in:	Proceedings of the IEEE 2010-06, Vol.98 (6), p.906-909
Hauptverfasser:	Baraniuk, Richard G., Candes, Emmanuel, Elad, Michael, Ma, Yi
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Computer vision Electrical engineering Exact sciences and technology Image coding Information, signal and communications theory Miscellaneous Optimization methods Sampling, quantization Signal and communications theory Signal processing Signal processing algorithms Signal sampling Telecommunications and information theory
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