sparse representations.The purpose of this correspondence is to generalize a result by Donoho and Huo and Elad and Bruckstein on sparse representations of signals in a union of two orthonormal bases for R[supN]. We consider general (redundant) dictionaries for R[supN] and derive sufficient ...
Nielsen. Sparse Representations in Unions of Bases. To appear IEEE Trans Info Thry. [17] W.B. Johnson and G. Schechtman (1982) Embedding m p into n1 . Acta Math. 149, 71-85. [18] Michel Ledoux. The Concentration of Measure Phenomenon. Mathematical Surveys and Monographs 89. American ...
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Preprint -learning unions of orthonormal bases with thresholded singular value decomposition We propose a new method to learn overcomplete dictionaries for sparse coding. The method is designed to learn dictionaries structured as unions of orthonormal bases. The interest of such a structure is manifold....
More on sparse representations in arbitrary bases. IEEE Trans. on I.T. 50, 6, 1341-1344, June 2004 see also 13th Ifac-Ifors symposium on Identification and system Parameter Estimation, pp. 1357-1362, Rotterdam,J.J. Fuchs. More on sparse representations in arbitrary bases. IEEE Trans. on ...
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 ...
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 ...
Caiafa C F and Cichocki A 2012 Computing sparse representations of multidimensional signals using kronecker bases Neural Comput. 25 186-220Caiafa C. F. and Cichocki A., "Computing sparse rep- resentations of multidimensional signals," Neural Com- putation, vol. 25, no. 1, pp. 186-220...
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