Summary
This chapter studies in depth the notion of homometry, i.e. having identical internal shape, as seen from Fourier space, where homometry can be seen at a glance by the size (or magnitude) of the Fourier coefficients. Finding homometric distributions is then a question of choosing the phases of these coefficients, hence this problem is often called phase retrieval in the literature. Such a choice of phases is summed up in the objects called spectral units, which connect homometric sets together. I included the original proof of the one difficult theorem of this book (Theorem 2.10), which non-mathematicians are quite welcome to skip. Some generalisations of the hexachord theorem are given, followed by the few easy results on higher-order homometry which deserve some room in this book because they rely heavily on DFT machinery. An original method for phase-retrieval with singular distributions (the difficult case) is also given. Some knowledge of basic linear algebra may help in this chapter.
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© 2016 Springer International Publishing Switzerland
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Amiot, E. (2016). Homometry and the Phase Retrieval Problem. In: Music Through Fourier Space. Computational Music Science. Springer, Cham. https://doi.org/10.1007/978-3-319-45581-5_2
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DOI: https://doi.org/10.1007/978-3-319-45581-5_2
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