In this article, a methodology is proposed to implement fractional-order analog wavelet filters in the frequency domain. Under scheme, transfer function of linear time-invariant system used approximate Gaussian-like functions. Firstly, we construct causal, stable, and physically achievable mathematical approximation model. Then, model transformed into an optimization problem, hybrid particle sw...

Particle filters are an important class of online posterior density estimation algorithms. In this paper we propose a real coded genetic algorithm particle filter (RGAPF) for the dual estimation of stochastic volatility and parameters of a Heston type stochastic volatility model. We compare the performance of our hybrid particle filter with a parameter learning particle filter present in litera...

An important phase of trip planning is the selection of relevant points of interest. Many recommender systems have been developed to assist in travel planning, but only few of them take into account user’s preferences. This paper presents preliminary results of the hybrid recommender system which first, filters out the points of interest according to user preferences and second, predicts the at...

The OWLS-MXmatchmaker selects OWL-S 1.1 services that are relevant to a given service request by means of combined logic based and approximative matching filters [5]. In this paper, we build upon this work and analyse its retrieval performance in terms of false positive and false negatives to reveal the benefits and pitfalls of both logic based and hybrid matching with OWLS-MX. The analysis res...

This paper proposes a novel technique for separating single channel recording of speech mixture using a hybrid of maximum likelihood and maximum a posteriori estimators. In addition, the new algorithm proposes a new approach that accounts for the time structure of the source signals by encoding them into a set of basis filters that are characteristically the most significant. Real time testing ...

We present work on the task of reducing noise in nominal terminology extraction. Based on a comparative evaluation of statistical measures aimed at capturing domain specificity, we propose strategies to increase the typically quite low accuracy of classical hybrid nominal multi-word term extraction. Our experiments on a set of German do-it-yourself instruction texts show that using linguistic f...

Most question answering and information retrieval systems are insensitive to different users’ needs and preferences, as well as their reading level. In (Quarteroni and Manandhar, 2006), we introduce a hybrid QA-IR system based on a a user model. In this paper we focus on how the system filters and re-ranks the search engine results for a query according to their reading difficulty, providing us...

in this paper, gaussian and elliptic high pass filters are analyzed for image sharpening qualitatively and quantatively . the filters are implemented in frequency domain using matlab software. experiments are performed to compare the performance of both the filters ,processed images are presented. the results demonstrate that elliptic yields better results.