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A best orthogonal basis for a vector is selected from a library to minimize a cost function of the expansion coefficients. How it depends on the cost function and under what conditions it provides the fastest nonlinear approximation are still open questions which we partially answer in this paper. Squared expansion coefficients may be considered a discrete probability density function, or pdf. We...
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