Compressed Sensing and Sparse Filtering by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (Hardback, 2013)

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Apart from compressed sensing this book contains other related approaches. As an example, in the Bayesian approach, sparseness promoting priors such as Laplace and Cauchy are normally used for penalising improbable model variables, thus promoting low complexity solutions.