Filtering random processes in continuous-discrete observation channels incorporating memory

A multi-dimensional random process is filtered by using a totality of realizations of continuous- and discrete-time multidimensional random processes. Starting from time $t^*$ the observed processes depend on the past values of the process which occurred $t^*$ time units ago as well as on the current values.