A system for the musical investigation and expression of levels of self-similarity in an arbitrary data stream
David G. Rossiter, Wai-Yin Ng · Rare & Special e-Zone (The Hong Kong University of Science and Technology) · 1996
This paper presents a system developed for the analysis and subsequent musical expression of data performance at an arbitrary number of levels of self-similarity within an arbitrary (linear) data sequence. The system employs two software components; the Csound audio generation software and a program to manage the data processing and file handling. System structure and operation is described, with an example based upon analysis of the Dow Jones financial stock market index data.