In this talk, we propose a global acoustic segment model for characterizing fundamental speech sound units and their interactions based upon a general framework of stochastic segment models.
The purpose of this paper is the presentation of the Hiden Markov Modeling (HMM) technique for a fast and accurate simulation of bit errors and soft outputs in wireless communication systems.
A hidden Markov model is a mathematical formalism that allows modeling of a stochastic system, which may undergo characteristic changes at uncertain times.
Signal observations or measurements often contain inevitable noisy components.
Signal observations or measurements often contain undesirable but inevitable noisy components which make signal identification related tasks difficult to fulfill.
We review current attempts to characterize the underlying nature of the hidden order in URu2Si2.
The magnetoluminescence spectra of symmetric quantum wells containing an electron gas show an abrupt transition from Landau level behavior (i.e.
Despite its inherent mechanical fragility, silica is widely used as a skeletal material in a great diversity of organisms ranging from diatoms and radiolaria to sponges and higher plants.
In most adaptation schemes, when limited amount of data is available, the estimation errors affect the feature coefficients which have a small dynamic range, i.e., delta and delta-delta coefficient
In an IPTV network, Video on Demand and other video services generate a large amount of unicast traffic from the Video Hub Office (VHO) to subscribers and, therefore, require additional bandwidth a
