Abstract In this paper, we consider separating the discretisation of diffusive and advective fluxes in complete flux scheme. This allows combination several methods for homogeneous with (CF) method. particular, explore hybrid mimetic mixed (HMM) method CF method, order to utilise advantages each these methods. The usage HMM us handle anisotropic diffusion tensors on generic polygonal (polytopal...

This paper proposes a hierarchical hidden Markov model (HHMM) to model the detection of M vehicles in a wireless sensor network (WSN). The HHMM model contains an extra level of hidden Markov model to model the temporal transitions of each state of the first HMM. By modeling the temporal transitions, only those hypothesis with nonzero transition probabilities needs to be tested. Thus, this metho...

Speech signals transmitted over telephone network often suffer from interference due to ambient noise and channel distortion. In this paper, a novel frame-dependent fuzzy channel compensation (FD-FCC) method employing two-stage bias subtraction is proposed to minimize the channel effect. First, through maximum likelihood (ML) estimation over the set of all word models, we choose the word model ...

speaker verification from talking a few words of sentences has many applications. many methods as dtw, hmm, vq and mq can be used for speaker verification. we applied mq for its precise, reliable and robust performance with computational simplicity. we also used pitch frequency and log gain contour for further improvement of the system performance.

In this paper, the problem of H\(\infty\) output-tracking control for T-S fuzzy markov jump systems(MJSs) with imperfect premise matching is investigated. The conditional probability information between system and controller imperfectly known. Firstly, due to in influence network-induce delay, mode can not be transmitted synchronously, thus, a discrete-time hidden model(HMM) established describ...

due to the effective role of markov models in customer relationship management (crm), there is a lack of comprehensive literature review which contains all related literatures. in this paper the focus is on academic databases to find all the articles that had been published in 2011 and earlier. one hundred articles were identified and reviewed to find direct relevance for applying markov models...