In this paper, a fast algorithm for overcomplete sparse decomposition, called SL0, is
proposed. The algorithm is essentially a method for obtaining sparse solutions of …

We describe a flexible object recognition and modelling system (FORMS) which represents
and recognizes animate objects from their silhouettes. This consists of a model for …

In this paper, a new algorithm for Sparse Component Analysis (SCA) or atomic
decomposition on over-complete dictionaries is presented. The algorithm is essentially a …

Recently, many blind source separation (BSS)-based techniques have been applied to
hyperspectral unmixing. In this paper, a new blind spectral unmixing method based on …

The underdetermined blind source separation method based on sparse component analysis
in the time–frequency domain is introduced to estimate the modal parameters in this study …

It has been challenging to correctly separate sources from their mixtures with large noise
and unknown source number in underdetermined cases. To address this problem, a novel …

This paper proposes the use of density-based spatial clustering of application with noise
(DBSCAN) and the Hough transform to estimate the mixing matrix in underdetermined blind …

In this article, the direction of arrival (DOA) estimation of multiple speech sources in
reverberant environments is investigated based on the recording of a soundfield …

With the recent advancements in design and processing speed, a new snapshot mosaic
imaging sensor architecture (SSI) has been successfully developed, holding the potential to …

The signal acquisition process is limited by the installation position and number of sensors
in particular types of equipment. Moreover, the observed signals are often compounded by …