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power spectral density as well as all finite-  2. If X is a gray-level image on a space E and
                              order joint moments.                   B is a subset of E, for every p ∈ E we have

                              ergodicity  stochastic processes for which  (X 	 B)(p) = inf X(p + b)
                                                                                       b∈B
                              ensemble averages can be replaced by tem-
                              poral averages over a single realization are  3. If both X and B are gray-level images on
                              said to be ergodic. For a stochastic pro-  a space E, for every p ∈ E we have
                              cess to be ergodic, a single realization must

                              in the course of time take on configurations  (X 	 B)(p) = inf X(p + h) − B(h)
                                                                                   h∈E
                              closely resembling the entire ensemble of
                              processes. Stationary filtered white noise is  with the convention ∞ − ∞=+∞ when
                              considered ergodic, while the sinusoidal pro-  X(p + h), B(h) =±∞. (In the two items
                              cess A cos(wt +φ) with random variables A  above, X(q) designates the gray-level of the
                              and φ is not.                          point q ∈ E in the gray-level image X.) See
                                                                     dilation, structuring element.
                              Erlang B    a formula (or mathematical
                              model) used to calculate call blocking prob-  ERP  See effective radiated power.
                              ability in a telephone network and in partic-
                              ular in cellular networks. This formula was  error  (1) manifestation of a fault at log-
                              initially derived by A. K. Erlang in 1917, a  ical level. For example, a physical short or
                              Danish pioneer of the mathematical model-  break may result in logical error of stuck-at-0
                              ing of telephone traffic, and is based on the  or stuck-at-1 state of some signal in the con-
                              assumption that blocked calls are forever lost  sidered circuit.
                              to the network. See also Erlang C.       (2) a discrepancy between a computed,
                                                                     observed, or measured value or condition and
                              Erlang C   similar to Erlang B, the for-  the true, specified, or theoretically correct
                              mula is based on a traffic model where the  value or condition. See bug,
                              call arrival process is modeled as a Poisson  exception.
                              process, the call duration is of variable length
                              and modeled as having an exponential dis-  error control coding  See channel coding.
                              tribution. The system is assumed to have a
                              queue with infinite size that buffers arriving
                              calls when all the channels in the switch are  error-correcting code (ECC)  code used
                              occupied. The model is based on the assump-  whencommunicationdatainformationinand
                              tionthatblockedcallsareplacedinthequeue.  between computer systems to ensure correct
                                                                     data transfer. An error correcting code has
                              Erlang capacity  maximum number of     enough redundancy (i.e., extra information
                              users in the system which leads to the maxi-  bits) in it to allow for the reconstruction of
                              mum allowable blocking probability (for ex-  the original data, after some of its bits have
                              ample, 2%).                            been the subject of error in the transmission.
                                                                     The number of erroneous bits that can be re-
                              erosion  an important basic operation in  constructed by the receiver using this code
                              mathematical morphology. Given a structur-  depends on the Hamming distance between
                              ing element B, the erosion by B is the oper-  the transmitted codewords. See also error
                              ator transforming X into the Minkowski dif-  detecting code.
                              ference X 	 B, which is defined as follows:
                              1. If both X and B are subsets of a space E,  error correction capability  of a code is
                                                                     bounded by the minimum distance and for an
                               X 	 B ={z ∈ E |∀b ∈ B, z + b ∈ X}     (n, k) block code, it is given by t =[(d min −



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