An exact tree projection algorithm for wavelets
Coralia Cartis, Andrew Thompson

TL;DR
This paper introduces an exact dynamic programming algorithm for projecting signals onto wavelet tree structures, ensuring precise results with proven computational complexity.
Contribution
It presents the first guaranteed exact projection algorithm for wavelet trees, improving upon approximate methods.
Findings
Algorithm guarantees exact projection onto wavelet trees.
Proven complexity of O(Nk) for the algorithm.
Applicable to sparse signal approximation in wavelet domains.
Abstract
We propose a dynamic programming algorithm for projection onto wavelet tree structures. In contrast to other recently proposed algorithms which only give approximate tree projections for a given sparsity, our algorithm is guaranteed to calculate the projection exactly. We also prove that our algorithm has O(Nk) complexity, where N is the signal dimension and k is the sparsity of the tree approximation.
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