A fundamental ingredient in the definition of Sparse-Land’s signals and its deployment to applications is the dictionary A. How can we wisely choose A to perform well on the signals in question? This is the topic of this chapter, and our emphasis is put on learning methods for dictionaries, based on a group of examples.
CITATION STYLE
Elad, M. (2010). The Quest for a Dictionary. In Sparse and Redundant Representations (pp. 227–246). Springer New York. https://doi.org/10.1007/978-1-4419-7011-4_12
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