—Time-domain algorithms for blind separation of audio sources can be classified as being based either on a partial or complete decomposition of an observation space. The decompo...
In this paper we present a method which allows the statistical analysis of nanoelectronic Boolean networks with respect to timing uncertainty and noise. All signals are considered...
Oliver Soffke, Peter Zipf, Tudor Murgan, Manfred G...
Many applications refer to moving objects or phenomena and require spatio-temporal modelling and specific analysis. Unlike conventional data where attributes are simple values (nu...
SOBI is a blind source separation algorithm based on time decorrelation. It uses multiple time autocovariance matrices, and performs joint diagonalization thus being more robust th...
The number of bugs (or fixes) is a common factor used to measure the quality of software and assist bug related analysis. For example, if software files have many bugs, they may b...