This paper proposes two nonlinear blind equalizers: the nonlinear constant modulus algorithm (NCMA) and the nonlinear modified constant modulus algorithm (NCMA) by applying a nonlinear transfer function (NTF) into constant modulus algorithm (CMA) and modified constant modulus algorithm (MCMA), respectively. The effect of the NTF on CMA and MCMA is theoretically analyzed, which implies that the ...

The convergency of iterative processes can exhibit unexpected behaviours. In this paper an analysis of the convergency of the iterative processes is made through the application of the Newton method to the polynomial equations resolution. This leads to the deenition of a dynamic relaxation scheme applied to computer graphics

This paper presents a learning theoretic analysis on stability of learning in light of iterated belief revision. We view a learning process as a sequential belief change procedure. A learning policy is sought to guarantee every learning process leads to a complete knowledge about the world if the newly accepted information is the true fact on the world. The policy allows an agent to abandon the...

Recently, substantial efforts have been devoted to the subspace learning techniques based on tensor representation, such as 2DLDA [Ye et al., 2004], DATER [Yan et al., 2005] and Tensor Subspace Analysis (TSA) [He et al., 2005]. In this context, a vital yet unsolved problem is that the computational convergency of these iterative algorithms is not guaranteed. In this work, we present a novel sol...

to determine whether C is part of the mechanism by which A contributes to B. Biologists use convergency and consistency amongst these experiments to judge the strength of any causal assertion. Therefore, in research maps convergency and consistency amongst results increases the score assigned to each edge, while contradictory results have the opposite effect. By selecting any one edge in a part...

Egoroff’s theorem is established for set-valued measures, which take values in the family of all non-void, closed subsets of a real normed space using Hausdorff metric by several authors. In this paper, we prove Egoroff’s theorem remains valid for non-additive measures, which take values in a family of sets of topological vector spaces using two types of convergency of set sequences.