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Reproducible Research in Computational Harmonic Analysis
Found in: Computing in Science and Engineering
By David L. Donoho, Arian Maleki, Inam Ur Rahman, Morteza Shahram, Victoria Stodden
Issue Date:January 2009
pp. 8-18
Scientific computation is emerging as absolutely central to the scientific method. Unfortunately, it's error-prone and currently immature—traditional scientific publication is incapable of finding and rooting out errors in scientific computation—which must...
MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting
Found in: Computing in Science and Engineering
By Jalal M. Fadili, Jean-Luc Starck, Michael Elad, David L. Donoho
Issue Date:January 2010
pp. 44-63
<p>Morphological component analysis of signals and images has far-reaching applications in science and technology, but some consider it problematic and even intractable. Reproducible research is essential to give MCA a firm scientific foundation. Res...
JBEAM: Coding Lines and Curves via Digital Beamlets
Found in: Data Compression Conference
By Xiaoming Huo, Jihong Chen, David L. Donoho
Issue Date:March 2004
pp. 449
Beamlets are combined with zero-tree coding algorithm to create a new coding method, particularly suitable for lines and curves. Beamlets are a multiscale collection of line segments at a range of scales, location, having a variety of lengths and orientati...
Some Experiments on Independent Component Analysis of non-Gaussian Processes
Found in: Signal Processing Workshop on High-Order Statistics, IEEE
By Jean-Francois Cardoso, David L. Donoho
Issue Date:June 1999
pp. 0074
This paper reports on numerical experiments on the `independent component analysis' (ICA) of some non-Gaussian stochastic processes. It is found that the orthonormal basis discovered by ICA are strikingly close to wavelet basis.