In certain problems, the conditional distribution of observations, given the random states of the signal, may fail to have a density; the latter may be impossible or too complex to compute. In this situation, an additional level of approximation is necessitated. One strategy is to replace the signal X k by the Markov chain X k = ( X k , Y k ) and to introduce a virtual observation of the form