TL;DR: An approach is proposed for the determination of a population's dominant means-end chains that relies on two criteria: the number of the represented ladders and the measure of their semantic representatives, fitted to the semantic characteristics of means- end data collection and concepts.
TL;DR: An efficient method, derived from the analysis of the multidimensional Wigner distribution defined in the frequency domain, is proposed, which provides some substantial advantages over the Wigners: the well known cross-terms effects are reduced or completely removed; the oversampling of signals is shown to be unnecessary; and the computation time can be significantly reduced, as well.
Abstract: Presents an analysis of the representation of local frequency and group shift using multidimensional time-frequency distributions. In the second part of the correspondence, the authors extend the analysis to the multicomponent signals and cross-terms effects. On the basis of that analysis, an efficient method, derived from the analysis of the multidimensional Wigner distribution defined in the frequency domain, is proposed. This method provides some substantial advantages over the Wigner distribution: the well known cross-terms effects are reduced or completely removed; the oversampling of signals is shown to be unnecessary; and the computation time can be significantly reduced, as well. The theory is illustrated by a two-dimensional numerical example. >
TL;DR: This paper considers the use of radial basis functions for modelling the non-linear transformation of a data set obtained by a multidimensional scaling analysis and a scheme based on iterative majorization is proposed for obtaining the parameters of the network.