Output-only modal identification has seen significant activity in recent years, especially in
large-scale structures where controlled input force generation is often difficult to achieve …

Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …

Sparsity of representations of signals has been shown to be a key concept of fundamental
importance in fields such as blind source separation, compression, sampling and signal …

In this chapter, we provide an overview of existing algorithms for blind source separation of
convolutive audio mixtures. We provide a taxonomy in which many of the existing algorithms …

Sparse representations have proved a powerful tool in the analysis and processing of audio
signals and already lie at the heart of popular coding standards such as MP3 and Dolby …

This paper considers the blind separation of nonstationary sources in the underdetermined
case, when there are more sources than sensors. A general framework for this problem is to …

“Playing” with notation software, part 2 of 2: There are lots of ways you can manipulate a
notation file for playback purposes. Philip Rothman and David MacDonald continue a two …

In the field of remote sensing, the unmixing of hyperspectral images is usually based on the
use of a mixing model. Most existing spectral unmixing methods, used in the reflective range …

A systematic exploration of both classic and contemporary algorithms in blind source
separation with practical case studies The book presents an overview of Blind Source …

We propose a method to count and estimate the mixing directions in an underdetermined
multichannel mixture. The approach is based on the hypothesis that in the neighborhood of …