The paper describes a software implementation of an MPEG–compliant Entropy Decoder on a TriMedia/CPU64 processor. We first outline entropy decoding basics and TriMedia/CPU64 architecture. Then, we describe the reference implementation of the entropy decoder, which consists mainly of a software pipelined loop. On each iteration, a set of look-up tables partitioning the VariableLength Codes (VLC)...

We establish the vanishing viscosity limit of the Navier-Stokes equations to the isentropic Euler equations for one-dimensional compressible fluid flow. For the NavierStokes equations, there exist no natural invariant regions for the equations with the real physical viscosity term so that the uniform sup-norm of solutions with respect to the physical viscosity coefficient may not be directly co...

We desire to generate monthly rainfall totals for a particular location in such a way that the statistics for the simulated data match the statistics for the observed data. We are especially interested in the accumulated rainfall totals over several months. We propose two different ways to construct a joint rainfall probability distribution that matches the observed grade correlation coefficien...

In this paper we have established relations of the genetic tables with magic and bimagic squares. Connections with Hamming distances, binomial coefficients are established. The idea of Gray code is applied. Shannon entropy of magic squares of order 4 × 4, 8 × 8 and 16 × 16 are also calculated. Some comparison is also made. Symmetry among restriction enzymes having four letters is also studied.

An estimation problem of the mean µ of an inverse Gaussian distribution IG(µ, C µ) with known coefficient of variation c is treated as a decision problem with entropy loss function. A class of Bayes estimators is constructed, and shown to include MRSE estimator as its closure. Two important members of this class can easily be computed using continued fractions

By using linear statistical coefficients such as Pearson, Spearman and Kendall’s, and nonlinear methods such as time-delayed transfer entropy and mutual information, the correlation between the observation stations of bridge health monitoring system is obtained. A model for predicting structural safety based on the correlation coefficients is established, which provides a new research method fo...

We present a mechanism for constructing networks with a given set of parameters using genetic algorithms. The tunable parameters include number of nodes, number of links, clustering coefficient, entropy and average distance. It is shown that the effects of maximizing entropy while constraining the number of links reproduces an exponential degree distribution, as can be seen in many real network...

We study quantum correlation in a two-dimensional system of two Coulombically interacting electrons trapped in an anisotropic harmonic potential in dependence on the interaction strength. The linear entropy and von Neumann entropy that measure the entanglement between the electrons are compared with the correlation energy and the statistical correlation coefficient. We observe that the entangle...

In this paper we present some information theoretical and statistical features including function word skip n-grams for detecting plagiarism intrinsically. We train a binary classifier with different feature sets and observe their performances. Basically, we propose a set of 36 features for classifying plagiarized and non-plagiarized texts in suspicious documents. Our experiment finds that entr...