Written for graduate-level courses in electrical engineering and applied mathematics, this book provides major concepts, techniques, and applications of sparse representation. The book presents standard representations with Fourier, wavelet, and time-frequency transforms and the construction of orthogonal bases with fast algorithms. The expanded third edition includes sparse signal representations in dictionaries and geometric image processing with curvelets and bandlets, as well as many new and updated exercises.
In addition, a supplemental set of MATLAB M-files is available for download.
Teaching materials based on MATLAB and Simulink