Diierent Dynamic Channel Allocation (DCA) strategies based on local signal strength measures are evaluated in terms of the degree of frequency reuse they can aaord. Fixed and Dynamic Channel Allocation schemes are compared by using a simulation model, which overcomes the limitations of models traditionally used in literature. Valuable results show the superiority of DCA schemes in various scena...

The asymptotic expansion of the distribution of the gradient test statistic is derived for a composite hypothesis under a sequence of Pitman alternative hypotheses converging to the null hypothesis at rate n−1/2, n being the sample size. Comparisons of the local powers of the gradient, likelihood ratio, Wald and score tests reveal no uniform superiority property. The power performance of all fo...

This paper introduces a new, efficient method for deriving compact symbolic representations of very large (labelled) Markov chains resulting from high-level model specifications such as stochastic Petri nets, stochastic process algebras, etc.. This so called “activity-local” scheme is combined with a new data structure, called zero-suppressed multi-terminal binary decision diagram, and a new ef...

Extensive studies have shown that a sports expert is superior to a sports novice in visually perceptual-cognitive processes of sports scene information, however the attentional and neural basis of it has not been thoroughly explored. The present study examined whether a sport expert has the attentional superiority on scene information relevant to his/her sport skill, and explored what factor dr...

Maximizing the use of dual-arm robotic systems requires the development of planning algorithms analogous to those available for single-arm operations. In this paper, the global properties of the configuration spaces of planar n-bar mechanisms (i.e., kinematic chains forming a single closed loop) are used to design a complete motion planning algorithm. Numerical experiments demonstrate the algor...

The wavelet periodogram is hard to smooth because of the low signal-to-noise ratio and non-stationary covariance structure. This article introduces a method for denoising a local wavelet periodogram by applying a Haar-Fisz transform which Gaussianises and stabilizes the variance of the periodogram. Consequently the transformed periodogram is easier to smooth. This article demonstrates the super...

This paper presents an evolutionary algorithm for solving parameter optimization problems in parametric array signal processing. The method utilises the niche concept to maintain a population capable of exploring the search space while preserving the diversity to prevent the premature convergence. The former is achieved by a niche-based adaptive mutation scheme and the latter by a niche-based l...

A new Student’s t-distribution finite mixture model is proposed which incorporates the local spatial information of the pixels. The pixels’ label probability proportions are explicitly modelled as probability vectors in the proposed model. We use the gradient descend method to estimate the parameters of the proposed model. Comprehensive experiments are performed for synthetic and natural graysc...

This paper presents a comparison between direct and recursive prediction strategies. In order to perform the input selection, an approach based on mutual information is used. The mutual information is computed between all the possible input sets and the outputs. Least Squares Support Vector Machines are used as non-linear models to avoid local minima problems. Results are illustrated on the Pol...