This paper investigates the performance of a speech recognizer in an interactive voice response system for various coded speech signals, coded by using a vector quantization technique namely Multi Switched Split Vector Quantization Technique. The process of recognizing the coded output can be used in Voice banking application. The recognition technique used for the recognition of the coded spee...

This paper investigates the performance of a speech recognizer in an interactive voice response system for various coded speech signals, coded by using a vector quantization technique namely Multi Switched Split Vector Quantization Technique. The process of recognizing the coded output can be used in Voice banking application. The recognition technique used for the recognition of the coded spee...

The gating mechanism of a single ion channel is usually modelled by a nite state space continuous time Markov chain. The patch clamp technique enables the experimenter to record the current owing across a single ion channel. In practice, the current is corrupted by noise and low-pass ltering, and is sampled with a typically very short sampling interval. We present a method for performing Bayesi...

One of the roadblocks to greater application of Markov chains is that non-numerically sophisticated users possess the detailed domain knowledge needed to construct a large Markov chain but may have a difficult time deciding which numerical solution method might be best suited to their applications. A realistic Markov chain model can easily contain hundreds of thousands of states, yet users may ...

The notion of infinite order Markov process is introduced and the Markov property of the flow of information is established.

We show that Markov couplings can be used to improve the accuracy of Markov chain Monte Carlo calculations in some situations where the steady-state probability distribution is not explicitly known. The technique generalizes the notion of control variates from classical Monte Carlo integration. We illustrate it using two models of nonequilibrium transport.

Investors use different approaches to select optimal portfolio. so, Optimal investment choices according to return can be interpreted in different models. The traditional approach to allocate portfolio selection called a mean - variance explains. Another approach is Markov chain. Markov chain is a random process without memory. This means that the conditional probability distribution of the nex...

in this research, a first order markov chain model was applied to simulate soil salinity in nine standard depths and 10 classes in the cultivated pistachio areas of ardakan city. transition probability matrix, kernel and uniform distribution were used to simulate 500000 soil profiles. results indicate kernel function could reproduce soil salinity values with statistical criteria (i.e. mean, sta...

We prove that, if a geodesic metric space has Markov type 2 with constant 1, then it is an Alexandrov space of nonnegative curvature. The same technique provides a lower bound of the Markov type 2 constant of a space containing a tripod or a branching point.