A methodology is developed to derive algorithms for optimal basis selection by minimizing diversity measures proposed by Wickerhauser (1994) and Donoho (1994).
Abstract— A methodology is developed to derive algorithms for optimal basis selection by minimizing diversity measures proposed by Wickerhauser and Donoho.
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A methodology is developed to derive algorithms for optimal basis selection by minimizing diversity measures proposed by Wickerhauser (1994) and Donoho ...
Abstract— A methodology is developed to derive algorithms for optimal basis selection by minimizing diversity measures proposed by Wickerhauser and Donoho.
A methodology is developed to derive algorithms for optimal basis selection by minimizing diversity measures proposed by Wickerhauser (1994) and Donoho ...
An affine scaling methodology for best basis selection. Rao, B. D.; ;; Kreutz-Delgado, K. Abstract. Publication: IEEE Transactions on Signal Processing.
A Generalized Affine Scaling Algorithm. The affine scaling methodology developed in [9] is readily adapted to address the minimization of the more general ...
... An Affine Scaling Methodology for Best. Basis Selection', IEEE Trans. on Signal Processing, 1999, 47, (1), pp. 187-200. [27] CHEN, S. and WIGGER, J.: 'Fast ...
Shub's work indicated that the trajectory leading to the optimal solution provided by the basic affine scaling algorithms depends upon the starting solution.
Missing: best selection.