The selective fixed-filter active noise control (SFANC) method selecting the best pre-trained filters for various types of can achieve a fast response time. However, it may lead to large steady-state errors due inaccurate filter selection and lack adaptability. In comparison, filtered-X normalized least-mean-square (FxNLMS) algorithm obtain lower through adaptive optimization. Nonetheless, its ...

The complex analytic methods have found a wide range of applications in the study of multiplicity-free representations. This article discusses, in particular, its applications to the question of restricting highest weight modules with respect to reductive symmetric pairs. We present a number of multiplicity-free branching theorems that include the multiplicity-free property of some of known res...

future increase of mobile communication subscribers will require a great capacity expansion of the cellular systems. in order to accommodate the increasing number of subscribers, the cell size will have to be much smaller than current size. therefore, it is predictable that the location updating and paging procedures will produce a major part of signaling traffic in these networks. this pape...

The classification of the electrocardiogram (ECG) is essentially a pattern recognition task where successful classification relies on efficient representation of the diagnostically significant shapes of the ECG. This study investigates the use of selected wavelet coefficient values to represent the diagnostic information. The coefficients are used as inputs to a linear discriminant classifier. ...

This year the CLASSY team participated in the update summary task and made four submissions to summarization evaluation (AESOP). Our AESOP submissions used combinations of ROUGE scores along with an update (or newness) score. We also use these new metrics, which we call Nouveau ROUGE, to help train our system and evaluate new ideas on computing update summaries. CLASSY (Clustering, Linguistics,...

an important aspect of microarray studies includes the prediction of patient survival based on their gene expression profile. to deal with the high dimensionality of this data, use of a dimension reduction procedure along with the survival prediction model is necessary. this study aimed to present a new method based on wavelet transform for survival relevant gene selection.the data included 204...