Advertisement

Continuous Spaces, Continuous FT

  • Emmanuel AmiotEmail author
Chapter
Part of the Computational Music Science book series (CMS)

Summary

The formula for the Fourier Transform \( \hat{f}\left( t \right) = \sum {f\left( k \right)} \;{\text{e}}^{ - 2ik\pi t/n} \) can be extended to continuous settings in several ways: transforming the discrete \( \sum \) into a continuous\( \smallint \) with some appropriate (usually Lebesgue) measure, i.e. summing on an infinite set; or having the variable t move on the real line instead of a cyclic group; or having the frequency \( \frac{2\pi }{n} \) become infinitesimal, perhaps keeping value \( \frac{2k\pi }{n} \) constant while both k and n grow to infinite. A last variant considers ordered collections of pcs with fixed cardinality, leading unexpectedly to a good measure of quality for temperaments such as might have been used by J.S. Bach. All these changes, advertised by various researchers [25, 88], require however precise definitions of their contexts and limitations, which will be scrupulously enunciated hereafter. Several practical situations of music devised by playing directly in some continuous Fourier space have occurred in recent years, and are reviewed in the last section.

Keywords

Fourier Space Regular Polygon Continuous Space Continuous Circle Major Scale 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Laboratoire de Mathématiques et PhysiqueUniversité de Perpignan Via DomitiaPerpignanFrance

Personalised recommendations