The fading measurements have been addressed by the mean and covariance of the variable which depend on the distribution law of each
probability mass function. Based on the projection theory, the linear minimum variance optimal linear estimators, including filter, predictor, and smoother have been proposed.
This section presents the method proposed in this paper in order to detect road elements based on the
probability mass function measured at each particular location after filtering slow traffic conditions.
For multifractal measures, the
probability mass function in each segment, [p.sub.i],([delta]), also scales with segment size [delta] as [p.sub.], ([delta])[alpha][[delta].sup.[alpha]i], where [[alpha].sub.i] = log [[mu].sub.i]([delta])/ /logS is the Lipschitz-Holder relationship which describes the scaling property to each i-th segment.
(i) Code Construction for Case 1.Given a pair (R, [R.sub.e]), choose a joint
probability mass function [p.sub.U, A, S, X, Y, Z](u, a, s, x, y, z) such that
As [theta] grows large, (1) converges to the
probability mass function of a Poisson random variable.
The
probability mass function of number of customers in the orbit
The pair (X, P) will be used to denote the random vector X together with the
probability mass function P on the sample space [2.sup.[omega]] = [2.sup.{1, ...
The
probability mass function of Basic Server state
CL is defined in terms of the binomial
probability mass function, also called the binomial discrete density function, b(m; n,p),
The possible signal values are denoted by [lambda], and Pr(x = l) is the
probability mass function (PMF) of X.