Since Mathematics really is about what mathematicians do, in this paper, we will look at the mathematical practice of framing, in which an object of interest is viewed in terms of ...
Abstract. Separation of underdetermined mixtures is an important problem in signal processing that has attracted a great deal of attention over the years. Prior knowledge is requir...
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
In this paper, we present a broadband two-microphone blind spatial separation technique by efficiently combining adaptive beamforming (ABF) with multichannel blind deconvolution (M...
The impact of feature correlations on class separation has received limited attention from researchers. Previous reports treat the problem from the viewpoint of multi-classifier ...