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.

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.

Spectral unmixing is among one of the major hyperspectral image analysis tasks that aims to extract basic features (endmembers) at subpixel level and estimate their corresponding proportions (fractional abundances). Recently, rapid development deep learning networks has provided us with a new method solve problem spectral unmixing. In this paper, we propose spatial-information-assisted informat...

The problem of estimating cosmological parameters such as  from noisy or incomplete data is an example of inverse problems and, as such, generally requires a probabilistic approach. We adopt the Bayesian interpretation of probability for such problems and stress the connection between probability and information which this approach makes explicit. This connection is important even when informa...

Consider the problem of information disclosure for a planner who faces two agents interacting in a state-dependent multi-action prisoners’dilemma. We …nd conditions under which the planner can make use of his superior information by disclosing some of it to the agents, and conditions under which such information leakage is not possible. Although the problem is entirely symmetric, the planner’s ...