The solution is known whenAis the concatination of two unitary matrices. we extend it to arbitrary matrices.doi:10.1016/s1474-6670(17)34942-xJean Jacques FuchsIFAC Proceedings VolumesJ. Fuchs, "More on sparse r
Beside the classical sparse regression problem, multi-layered expansion on unions of dictionaries of signals are also considered. These sparse structured expansions are done subject to an exact reconstruction constraint, using a modified FOCUSS algorithm. When the mixed norms are used in the framework...
Random models for sparse signals expansion on unions of bases with application to audio signals. Kowalski M.,Torresani B. IEEE Transactions on Signal Processing . 2008Kowalski, M. and Torr´esani, B., "Random models for sparse signals expansion on unions of bases with application to audio ...
Cichocki, "Computing sparse representations of multidimensional signals using kronecker bases," Neural Computation, vol. 1, no. 35, 2012.C. F. Caiafa and A. Cichocki, "Computing sparse representations of multidimensional signals using kronecker bases," Neural Comput., pp. 186-220, Dec. 2012....
Optimization in the wavelet domain has been a very prominent research topic both for denoising, as well as compression, reflected in its use in the JPEG-2000 standard. Its performance depends to a...doi:10.1007/978-3-319-78199-0_17Thomas Grandits...
Optimization in the wavelet domain has been a very prominent research topic both for denoising, as well as compression, reflected in its use in the JPEG-2000 standard. Its performance depends to a great extent on the wavelet 蠄 itself, represented in the form of a filter in the case of ...