The wavelet tree (Grossi et al. [SODA, 2003]) and wavelet matrix
(Claude et al. [Inf. Syst., 2015]) are compact data structures with many
applications such as text indexing or computational geometry.
By continuing the recent research of Fischer et al. [ALENEX, 2018],
we explore the similarities and differences of these heavily related data
structures with focus on their construction.
We develop a data structure to modify construction algorithms for either the
wavelet tree or matrix to construct instead the other.
This modification is efficient, in that it does not worsen the
asymptotic time and space requirements of any known wavelet tree or wavelet
matrix construction algorithm.
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