1,721,085 research outputs found
The Bivariate Mixture Space: A Compact Spectral Representation of Bivariate Signals
The Fourier Transform (FT) is a widely used analysis tool. However, FT alone is not suited for the analysis of bivariate signals, e.g., stereophonic recordings, because it is not sensitive to the relationship between channels. Different works addressing this problem can be found in the literature; the Bivariate Mixture Space (BMS) is introduced here as an alternative representation to the existing techniques. BMS is still based on the FT and can be thought of as an extension of it, such that the relationship between two signals is considered as additional information in the frequency domain. Despite being simpler than other techniques aimed at representing bivariate signals, this representation is shown to have some desirable characteristics that are absent in traditional representations, which lead to novel ways to perform linear and non-linear decomposition, feature extraction, and data visualization. As a demonstrative application, an Independent Component Analysis algorithm is derived from the BMS, which shows promising results with respect to existing implementations in terms of performance and robustness
The Sonification Space : a Reference System for Sonification Tasks
Sonification is a fairly new term to scientists who are unaware of its multiple use cases. Even if some general definitions of the concept of sonification are commonly accepted, heterogeneous techniques – significantly different as it regards approaches, means and goals – are available. In this work we propose a reference system useful to interpret already-existing sonification instances and to plan new sonification tasks. This work aims to present a reference system for sonification using the inherent properties in the sonic output rather than the data itself. Validation has been conducted by automatically analyzing available experiments and examples, and placing them on the proposed sonification space, according to time-granularity and abstraction-level dimensions. This work can constitute the starting point for future research on computer-assisted sonification. It will be beneficial to a wide range of readers, in particular those from different disciplines looking at new ways to present and analyze data
Cooperative: "vive la différence"
Il volume tratta della disciplina delle società cooperativ
- …
