Bogdan Dumitrescu received the M.S. and Ph.D. degrees in 1987 and 1993, respectively, from University Politehnica of Bucharest, Romania. He is a Professor with the Department of Automatic Control and Computers, University Politehnica of Bucharest. He held several visiting research positions at Tampere International Center for Signal Processing, Tampere University of Technology, Finland, in particular that of Finnish Distinguished Professor (FiDiPro) fellow (2010-2013). He was Associate Editor (2008-2012) and Area Editor (2010-2014) at IEEE Transactions on Signal Processing. He is the author of the book "Positive trigonometric polynomials and Signal Processing applications" (Springer 2007, second edition Springer 2017). His scientific interests are in optimization, numerical methods, and their applications to signal processing.

Paul Irofti graduated from the University Politehnica of Bucharest in 2008 and received his PhD in 2016 with the thesis "Parallel Dictionary LearningAlgorithms for Sparse Representations" from the same university. He is a Lecturer with the Department of Computer Science, University of Bucharest. His scientific interests are in numerical methods, signal processing and parallel algorithms accompanied by a vast, hands-on, more than 10 years' experience in the open-source community and industry. His publications are focused on dictionary learning algorithms.

Presents all relevant dictionary learning algorithms - for the standard problem and its main variations - in detail and ready for implementation

Covers all dictionary structures that are meaningful in applications

Examines the numerical properties of the algorithms and shows how to choose the appropriate dictionary learning algorithm

Chapter1: Sparse representations.- Chapter2: Dictionary learning problem.- Chapter3: Standard algorithms.- Chapter4: Regularization and incoherence.- Chapter5: Other views on the DL problem.- Chapter6: Optimizing dictionary size.- Chapter7: Structured dictionaries.- Chapter8: Classification.- Chapter9: Kernel dictionary learning.- Chapter10: Cosparse representations.